A B C D E F G H I J K L M N O P R S T U V W X Y Z

A

AbstractConverterPlugIn - Class in org.joone.util

This abstract class must be extended to implement plug-ins for input or output data pre- or post-processing

AbstractConverterPlugIn() - Constructor for class org.joone.util.AbstractConverterPlugIn

Creates a new instance of AbstractConverterPlugIn

AbstractConverterPlugIn(String) - Constructor for class org.joone.util.AbstractConverterPlugIn

Creates a new instance of AbstractConverterPlugIn

AbstractEventNotifier - Class in org.joone.engine

This class raises an event notification invoking the corrisponnding Monitor.fireXXX method.

AbstractEventNotifier(Monitor) - Constructor for class org.joone.engine.AbstractEventNotifier

Creates a new instance of AbstractEventNotifier

AbstractLearner - Class in org.joone.engine

This class provides some basic simple functionality that can be used (extended) by other learners.

AbstractLearner() - Constructor for class org.joone.engine.AbstractLearner

Creates a new instance of AbstractLearner

AbstractTeacherSynapse - Class in org.joone.engine.learning

This class provides a framework to extend in order to implement various teachers, just by overriding or implementing certain functions different functionality can easily implemented.

AbstractTeacherSynapse() - Constructor for class org.joone.engine.learning.AbstractTeacherSynapse

Creates a new instance of AbstractTeacherSynapse

addConvergenceListener(ConvergenceListener) - Method in class org.joone.engine.listeners.ConvergenceObserver

Adds a convergence listener.

addDeltaRuleExtender(DeltaRuleExtender) - Method in class org.joone.engine.ExtendableLearner

Adds a delta extender.

addGradientExtender(GradientExtender) - Method in class org.joone.engine.ExtendableLearner

Adds a gradient extender.

addInputSynapse(InputPatternListener) - Method in class org.joone.engine.Layer

Adds a new input synapse to the layer

addInputSynapse(InputPatternListener) - Method in interface org.joone.engine.NeuralLayer

Adds a new input synapse to the layer

addInputSynapse(StreamInputSynapse) - Method in class org.joone.io.InputSwitchSynapse

Adds an input synapse to the switch

addInputSynapse(InputPatternListener) - Method in class org.joone.net.NestedNeuralLayer

addInputSynapse(InputPatternListener) - Method in class org.joone.net.NeuralNet

addLayer(Layer) - Method in class org.joone.net.NeuralNet

addLayer(Layer, int) - Method in class org.joone.net.NeuralNet

addLayer(Layer) - Method in class org.joone.structure.Nakayama

Adds layers to this optimizer.

addLayers(NeuralNet) - Method in class org.joone.structure.Nakayama

Adds all the hidden layers to this optimizer.

addLearner(int, String) - Method in class org.joone.engine.Monitor

Adds a new Learner to the Neural Network Usage: Monitor.addLearner(0, "org.joone.engine.BasicLearner"); Monitor.addLearner(1, "org.joone.engine.BatchLearner"); Monitor.addLearner(2, "org.joone.engine.RpropLearner");

addMacro(String, String) - Method in class org.joone.script.MacroManager

addNeuralNetListener(NeuralNetListener) - Method in class org.joone.engine.Monitor

adds a neural net event listener the Monitor

addNeuralNetListener(NeuralNetListener, boolean) - Method in class org.joone.engine.Monitor

adds a neural net event listener to the Monitor

addNeuralNetListener(NeuralNetListener) - Method in class org.joone.net.NeuralNet

addNoise(double) - Method in class org.joone.engine.DelaySynapse

addNoise(double) - Method in class org.joone.engine.FIRFilter

addNoise(double) - Method in class org.joone.engine.Layer

Adds a noise componentto the biases of the layer and to all the input connected synapses.

addNoise(double) - Method in class org.joone.engine.Matrix

Adds noise to the weights.

addNoise(double) - Method in interface org.joone.engine.NeuralLayer

Adds a noise to the biases of the layer and to all the input synapses connected

addNoise(double) - Method in class org.joone.engine.Synapse

Adds a noise to the weights of the synapse

addNoise(double) - Method in class org.joone.net.NestedNeuralLayer

addNoise(double) - Method in class org.joone.net.NeuralNet

addOutputPluginListener(OutputPluginListener) - Method in class org.joone.util.OutputConverterPlugIn

Deprecated. Use AbstractConverterPlugIn.addPlugInListener(PlugInListener)

addOutputSynapse(OutputPatternListener) - Method in class org.joone.engine.Layer

Adds a new output synapse to the layer

addOutputSynapse(OutputPatternListener) - Method in interface org.joone.engine.NeuralLayer

Adds a new output synapse to the layer

addOutputSynapse(OutputPatternListener) - Method in class org.joone.engine.OutputSwitchSynapse

Adds an output synapse to the switch

addOutputSynapse(OutputPatternListener) - Method in class org.joone.net.NestedNeuralLayer

addOutputSynapse(OutputPatternListener) - Method in class org.joone.net.NeuralNet

addPlugIn(ConverterPlugIn) - Method in class org.joone.io.StreamInputSynapse

Adds a plug in to the stream input synapse for data preprocessing.

addPlugIn(OutputConverterPlugIn) - Method in class org.joone.io.StreamOutputSynapse

Adds a plug in to the stream output synapse for data preprocessing.

addPlugIn(AbstractConverterPlugIn) - Method in class org.joone.util.AbstractConverterPlugIn

Adds a plug-in at the end of the list of plug-ins.

addPlugInListener(PlugInListener) - Method in class org.joone.io.StreamInputSynapse

Adds a plug-in lsitener to this input stream.

addPlugInListener(PlugInListener) - Method in class org.joone.util.AbstractConverterPlugIn

Adds an PlugInListener to this plug-in.

addResultSynapse(OutputPatternListener) - Method in interface org.joone.engine.learning.ComparingElement

Adds an output synapse to which the result must be sent

addResultSynapse(OutputPatternListener) - Method in class org.joone.engine.learning.ComparingSynapse

addResultSynapse(OutputPatternListener) - Method in class org.joone.engine.learning.TeachingSynapse

addTrainingSet(StreamInputSynapse) - Method in class org.joone.util.LearningSwitch

addValidationListener(NeuralValidationListener) - Method in class org.joone.net.NeuralNetValidator

addValidationSet(StreamInputSynapse) - Method in class org.joone.util.LearningSwitch

adjustSizeToFwdPattern(double[]) - Method in class org.joone.engine.Layer

Adjusts the size of a layer if the size of the forward pattern differs.

adjustSizeToFwdPattern(double[]) - Method in class org.joone.engine.RbfLayer

Adjusts the size of a layer if the size of the forward pattern differs.

adjustSizeToRevPattern(double[]) - Method in class org.joone.engine.Layer

Adjusts the size of a layer if the size of the reverse pattern differs.

apply() - Method in class org.joone.util.AbstractConverterPlugIn

Applies all the conversions on the patterns contained by AbstractConverterPlugIn.InputVector

apply() - Method in class org.joone.util.ToBinaryPlugin

ApplyNeighborhoodFunction(double[], double[], boolean) - Method in class org.joone.engine.CircularSpatialMap

ApplyNeighborhoodFunction(double[], double[], boolean) - Method in class org.joone.engine.GaussianSpatialMap

ApplyNeighborhoodFunction(double[], double[], boolean) - Method in class org.joone.engine.SpatialMap

Applies the neighborhood strategy based on this spatial maps implementation.

applyOnColumns() - Method in class org.joone.util.AbstractConverterPlugIn

Applies the conversion on the patterns contained by AbstractConverterPlugIn.InputVector and on the columns specifed by the call to setAdvancedSerieSelector#setAdvancedSerieSelector.

applyOnRows() - Method in class org.joone.util.AbstractConverterPlugIn

Applies the conversion on the patterns contained by AbstractConverterPlugIn.InputVector on all the rows.

applyOnRows() - Method in class org.joone.util.ColumnSelectorPlugIn

applyOnRows() - Method in class org.joone.util.ShufflePlugin

array - Variable in class org.joone.engine.FIRFilter

array - Variable in class org.joone.engine.Synapse

B

b_pattern - Variable in class org.joone.engine.Synapse

backDelay(double[]) - Method in class org.joone.engine.FIRFilter

backFilter(double) - Method in class org.joone.engine.FIRFilter

backmemory - Variable in class org.joone.engine.FIRFilter

backmemory - Variable in class org.joone.engine.MemoryLayer

backward(double[]) - Method in class org.joone.engine.BiasedLinearLayer

backward(double[]) - Method in class org.joone.engine.BufferedSynapse

backward(double[]) - Method in class org.joone.engine.ContextLayer

backward(double[]) - Method in class org.joone.engine.DelayLayer

backward(double[]) - Method in class org.joone.engine.DelaySynapse

backward(double[]) - Method in class org.joone.engine.DirectSynapse

backward(double) - Method in class org.joone.engine.FIRFilter

backward(double[]) - Method in class org.joone.engine.FreudRuleFullSynapse

backward(double[]) - Method in class org.joone.engine.FullSynapse

backward(double[]) - Method in class org.joone.engine.GaussianLayer

This method has a blank body as there are no biases to adjust.

backward(double[]) - Method in class org.joone.engine.GaussLayer

backward(double[]) - Method in class org.joone.engine.KohonenSynapse

Adjusts the weights of this Kohonen Synapse according to the neighborhood fall off distance calculated by the next layer.

backward(double[]) - Method in class org.joone.engine.Layer

Reverse transfer function of the component.

backward(double[]) - Method in class org.joone.engine.learning.AbstractTeacherSynapse

backward(double[]) - Method in class org.joone.engine.learning.ComparingSynapse

Training phase.

backward(double[]) - Method in class org.joone.engine.learning.ComparisonSynapse

backward(double[]) - Method in class org.joone.engine.learning.TeachingSynapse

Training phase.

backward(double[]) - Method in class org.joone.engine.LinearLayer

backward(double[]) - Method in class org.joone.engine.LogarithmicLayer

Reverse transfer function of the component.

backward(double[]) - Method in class org.joone.engine.MemoryLayer

Reverse transfer function of the component.

backward(double[]) - Method in class org.joone.engine.OutputSwitchSynapse

backward(double[]) - Method in class org.joone.engine.RbfGaussianLayer

backward(double[]) - Method in class org.joone.engine.RbfInputSynapse

backward(double[]) - Method in class org.joone.engine.SangerSynapse

Training Function

backward(double[]) - Method in class org.joone.engine.SigmoidLayer

backward(double[]) - Method in class org.joone.engine.SimpleLayer

backward(double[]) - Method in class org.joone.engine.SineLayer

backward(double[]) - Method in class org.joone.engine.Synapse

Funzione di TRAIN dell'elemento.

backward(double[]) - Method in class org.joone.engine.TanhLayer

backward(double[]) - Method in class org.joone.engine.WTALayer

No biases need updating or setting.

backward(double[]) - Method in class org.joone.io.InputSwitchSynapse

backward(double[]) - Method in class org.joone.io.StreamInputSynapse

backward(double[]) - Method in class org.joone.io.StreamOutputSynapse

backward(double[]) - Method in class org.joone.net.NestedNeuralLayer

backward(double[]) - Method in class org.joone.structure.PatternForwardedSynapse

BasicLearner - Class in org.joone.engine

BasicLearner() - Constructor for class org.joone.engine.BasicLearner

BatchLearner - Class in org.joone.engine

BatchLearner stores the weight/bias changes during the batch and updates them after the batch is done.

BatchLearner() - Constructor for class org.joone.engine.BatchLearner

BatchLearner(int) - Constructor for class org.joone.engine.BatchLearner

Deprecated. use BatchLearner() and set the batch size with monitor.setBatchSize()

BatchModeExtender - Class in org.joone.engine.extenders

This class implements the offline learning, that is, batch mode.

BatchModeExtender() - Constructor for class org.joone.engine.extenders.BatchModeExtender

Creates a new instance of BatchModeExtender

bias - Variable in class org.joone.engine.Layer

Holds the bias of neurons of the layer

BiasedLinearLayer - Class in org.joone.engine

This layer consists of linear neurons, i.e. neurons that sum up their inputs (actually this is done by the (full) synapse in Joone) along with their biases.

BiasedLinearLayer() - Constructor for class org.joone.engine.BiasedLinearLayer

Creates a new instance of BiasedLinearLayer

BiasedLinearLayer(String) - Constructor for class org.joone.engine.BiasedLinearLayer

Creates a new instance of BiasedLinearLayer.

BiasInspection - Class in org.joone.inspection.implementations

BiasInspection(Matrix) - Constructor for class org.joone.inspection.implementations.BiasInspection

bitems - Variable in class org.joone.engine.Synapse

bouts - Variable in class org.joone.engine.FIRFilter

bouts - Variable in class org.joone.engine.Synapse

BufferedSynapse - Class in org.joone.engine

This class implements a synapse that permits to have asynchronous methods to write output patterns.

BufferedSynapse() - Constructor for class org.joone.engine.BufferedSynapse

BufferedOutputSynapse constructor.

C

calculateError(double, double, int) - Method in class org.joone.engine.learning.AbstractTeacherSynapse

Calculates the error to be backpropaged for a single output neuron.

calculateError(double, double, int) - Method in class org.joone.engine.learning.FahlmanTeacherSynapse

calculateError(double, double, int) - Method in class org.joone.engine.learning.TeacherSynapse

calculateGlobalError() - Method in class org.joone.engine.learning.AbstractTeacherSynapse

This method is called after an epoch finished and the global error should be calculated.

calculateGlobalError() - Method in class org.joone.engine.learning.TeacherSynapse

calculateNewACS() - Method in class org.joone.io.ImageInputSynapse

Calculates the new value for AdvancedColumnSelector

calculateOrderedLayers() - Method in class org.joone.net.NeuralNet

This method calculates the order of the layers of the network, from the input to the output.

calculatePVW(int, int) - Method in class org.joone.util.DeltaNormPlugIn

CalendarEnd - Variable in class org.joone.io.YahooFinanceInputSynapse

CalendarStart - Variable in class org.joone.io.YahooFinanceInputSynapse

canCountSteps() - Method in class org.joone.engine.Synapse

Returns TRUE if the synapse calls the method nextStep() on the Monitor object when the fwdGet() method is called

cascade() - Method in class org.joone.util.AbstractConverterPlugIn

Cascades the convertPatterns() method call to the next plug-in.

CenterOnZeroPlugIn - Class in org.joone.util

Center around the zero all the time series subtracting its average Creation date: (23/10/2000 23.55.34)

CenterOnZeroPlugIn() - Constructor for class org.joone.util.CenterOnZeroPlugIn

CenterOnZeroPlugIn constructor comment.

CenterOnZeroPlugInBeanInfo - Class in org.joone.util

CenterOnZeroPlugInBeanInfo() - Constructor for class org.joone.util.CenterOnZeroPlugInBeanInfo

check() - Method in class org.joone.engine.DelayLayer

check() - Method in class org.joone.engine.DelaySynapse

check() - Method in class org.joone.engine.DirectSynapse

check() - Method in class org.joone.engine.GaussianLayer

Check that there are no errors or problems with the properties of this GaussianLayer.

check() - Method in class org.joone.engine.KohonenSynapse

Check that there are no errors or problems with the properties of this KohonenSynapse.

check() - Method in class org.joone.engine.Layer

Get check messages from listeners.

check() - Method in class org.joone.engine.learning.AbstractTeacherSynapse

check() - Method in class org.joone.engine.learning.ComparingSynapse

check() - Method in class org.joone.engine.learning.ComparisonSynapse

check() - Method in class org.joone.engine.learning.TeachingSynapse

check() - Method in class org.joone.engine.MemoryLayer

check() - Method in class org.joone.engine.Monitor

check() - Method in interface org.joone.engine.NeuralElement

Validation checks for invalid parameter values, misconfiguration, etc.

check() - Method in interface org.joone.engine.NeuralLayer

Validation checks for invalid parameter values, misconfiguration, etc.

check() - Method in class org.joone.engine.OutputSwitchSynapse

Base for check messages.

check() - Method in class org.joone.engine.Synapse

Base for check messages.

check() - Method in class org.joone.engine.WTALayer

Check that there are no errors or problems with the properties of this WTALayer.

check() - Method in class org.joone.io.FileInputSynapse

Returns a TreeSet of errors or problems regarding the setup of this synapse.

check() - Method in class org.joone.io.FileOutputSynapse

check() - Method in class org.joone.io.ImageInputSynapse

Checks and returns any problems found with the settings of this synapse.

check() - Method in class org.joone.io.ImageOutputSynapse

Checks and returns any problems found with the settings of this synapse.

check() - Method in class org.joone.io.InputConnector

check() - Method in class org.joone.io.InputSwitchSynapse

Check that parameters are set correctly.

check() - Method in class org.joone.io.JDBCInputSynapse

Check that parameters are set correctly for the this JDBCInputSynapse object.

check() - Method in class org.joone.io.JDBCOutputSynapse

Check that parameters are set correctly for the this JDBCInputSynapse object.

check() - Method in class org.joone.io.StreamInputSynapse

Check that parameters are set correctly.

check() - Method in class org.joone.io.StreamOutputSynapse

check() - Method in class org.joone.io.XLSInputSynapse

Returns a TreeSet of problems or errors with the setup of this XLSInputSynapse object.

check() - Method in class org.joone.io.XLSOutputSynapse

Checks and returns any problems found with the settings of this synapse.

check() - Method in class org.joone.io.YahooFinanceInputSynapse

Check that there are no errors or problems with the properties of this YahooFinanceInputSynapse.

check() - Method in class org.joone.net.NestedNeuralLayer

check() - Method in class org.joone.net.NetChecker

Validation checks for invalid parameter values, misconfiguration, etc.

check() - Method in class org.joone.net.NeuralNet

Compiles all layers' check messages.

check(TreeSet) - Method in class org.joone.util.AbstractConverterPlugIn

This method is called to perform a check on this converter's properties to ensure there are no errors or problems.

check() - Method in class org.joone.util.LearningSwitch

checkInputEnabled() - Method in class org.joone.engine.Layer

Checks if at least one input synapse is enabled

checkInputs(Vector) - Method in class org.joone.engine.Layer

Determine whether ther are any stream input synapses attached.

checkOutputs(Vector) - Method in class org.joone.engine.Layer

Determine whether ther are any stream output or teach synapses attached.

cicleTerminated(NeuralNetEvent) - Method in class org.joone.engine.GaussianLayer

Updates the Gaussian Size if in learning mode.

cicleTerminated(NeuralNetEvent) - Method in class org.joone.engine.KohonenSynapse

Changes the learning rate for this synapse depending in the current epoch number.

cicleTerminated(NeuralNetEvent) - Method in class org.joone.engine.NeuralNetAdapter

cicleTerminated(NeuralNetEvent) - Method in interface org.joone.engine.NeuralNetListener

cicleTerminated(NeuralNetEvent) - Method in class org.joone.net.NeuralNet

Not implemented.

cicleTerminated(NeuralNetEvent) - Method in class org.joone.net.NeuralNetValidator

cicleTerminated(NeuralNetEvent) - Method in class org.joone.structure.Nakayama

cicleTerminated(NeuralNetEvent) - Method in class org.joone.util.MonitorPlugin

cicleTerminated method.

cicleTerminated(NeuralNetEvent) - Method in class org.joone.util.NeuralNetRunner

CircularSpatialMap - Class in org.joone.engine

This class implements the SpatialMap interface providing a circular spatial map for use with the GaussianLayer and Kohonen Networks.

CircularSpatialMap() - Constructor for class org.joone.engine.CircularSpatialMap

Creates a new instance of CircularSpatialMap

cleanUp() - Method in class org.joone.structure.Nakayama

This method is called after optimization, e.g. to restore the listeners.

clear() - Method in class org.joone.engine.Matrix

Clears (resets) the matrix object.

clone() - Method in class org.joone.engine.Matrix

Clones this matrix object.

clone() - Method in class org.joone.engine.Pattern

clone() - Method in class org.joone.script.JooneMacro

cloneNet() - Method in class org.joone.net.NeuralNet

Creates a copy of the contained neural network

cols - Variable in class org.joone.io.StreamInputSynapse

ColumnNames - Variable in class org.joone.io.YahooFinanceInputSynapse

ColumnSelectorPlugIn - Class in org.joone.util

Certain plug-ins change the number of columns during their conversion, for example the ToBinaryPlugin increases the number of columns.

ColumnSelectorPlugIn() - Constructor for class org.joone.util.ColumnSelectorPlugIn

Creates a new instance of ColumnSelectorPlugIn

ColumnSelectorPlugIn(String) - Constructor for class org.joone.util.ColumnSelectorPlugIn

Creates a new instance of ColumnSelectorPlugIn

compareTo(Object) - Method in class org.joone.net.NetCheck

Method to order by message when in TreeSet.

ComparingElement - Interface in org.joone.engine.learning

This interface describes an element that can compare the output of the layer to which it is connected, with another input derivating from a StreamInputSynapse named 'desired'.

ComparingSynapse - Class in org.joone.engine.learning

ComparingSynapse() - Constructor for class org.joone.engine.learning.ComparingSynapse

ComparingSynapseBeanInfo - Class in org.joone.engine.learning

ComparingSynapseBeanInfo() - Constructor for class org.joone.engine.learning.ComparingSynapseBeanInfo

ComparisonSynapse - Class in org.joone.engine.learning

Final element of a neural network; it permits to compare the outcome of the neural net and the input patterns from a StreamInputSynapse connected to the 'desired' property.

ComparisonSynapse() - Constructor for class org.joone.engine.learning.ComparisonSynapse

constructErrorPattern(double[], double[]) - Method in class org.joone.engine.learning.AbstractTeacherSynapse

Constructs the error pattern that will be back-propagated.

ContextLayer - Class in org.joone.engine

The context layer is similar to the linear layer except that it has an auto-recurrent connection between its output and input.

ContextLayer() - Constructor for class org.joone.engine.ContextLayer

ContextLayer(String) - Constructor for class org.joone.engine.ContextLayer

ConvergenceEvent - Class in org.joone.engine.listeners

This event will be generated whenever convergence has reached according to some criteria.

ConvergenceEvent(Monitor) - Constructor for class org.joone.engine.listeners.ConvergenceEvent

Creates a new instance of ConvergenceEvent

ConvergenceListener - Interface in org.joone.engine.listeners

Listens for convergence events.

ConvergenceObserver - Class in org.joone.engine.listeners

Abstract class for all convergence observer.

ConvergenceObserver() - Constructor for class org.joone.engine.listeners.ConvergenceObserver

Creates a new instance of ConvergenceObserver

convert(int) - Method in class org.joone.util.AbstractConverterPlugIn

Applies the conversion on the Nth serie of the buffered pattern data.

convert(int) - Method in class org.joone.util.CenterOnZeroPlugIn

Starts the convertion

convert(int) - Method in class org.joone.util.ColumnSelectorPlugIn

convert(int) - Method in class org.joone.util.DeltaNormPlugIn

convert(int) - Method in class org.joone.util.LogarithmicPlugIn

Start the convertion

convert(int) - Method in class org.joone.util.MinMaxExtractorPlugIn

Executes the extraction of the inversion points (29/09/00 15.12.32)

convert(int) - Method in class org.joone.util.MovingAveragePlugIn

Start the convertion to a moving average for the required serie.

convert(int) - Method in class org.joone.util.NormalizerPlugIn

Start the convertion

convert(int) - Method in class org.joone.util.RbfRandomCenterSelector

convert(int) - Method in class org.joone.util.ShufflePlugin

convert(int) - Method in class org.joone.util.ToBinaryPlugin

convert(int) - Method in class org.joone.util.UnNormalizerOutputPlugIn

Provides buffer conversion support by converting the patterns in the buffer returned by getInputVector().

convert_pattern(int) - Method in class org.joone.util.OutputConverterPlugIn

Applies the preprocessing on the Nth serie of the data.

convert_pattern(int) - Method in class org.joone.util.UnNormalizerOutputPlugIn

Converts a pattern indicated by getPattern() method.

convertAllPatterns() - Method in class org.joone.util.OutputConverterPlugIn

Deprecated. Use AbstractConverterPlugIn.convertPatterns()

ConverterPlugIn - Class in org.joone.util

This abstract class must be extended to implement plug-ins for input data preprocessing.

ConverterPlugIn() - Constructor for class org.joone.util.ConverterPlugIn

The default constructor of the ConverterPlugIn.

ConverterPlugIn(String) - Constructor for class org.joone.util.ConverterPlugIn

Constructor of the ConverterPlugIn.

ConverterPlugInBeanInfo - Class in org.joone.util

ConverterPlugInBeanInfo() - Constructor for class org.joone.util.ConverterPlugInBeanInfo

convertPattern() - Method in class org.joone.util.OutputConverterPlugIn

Applies the preprocessing on the patterns contained in the conv_patterns

convertPatterns() - Method in class org.joone.util.AbstractConverterPlugIn

Converts all the patterns contained by AbstractConverterPlugIn.InputVector and on the serie specifed by the call to setAdvancedSerieSelector#setAdvancedSerieSelector.

copyInto(NeuralLayer) - Method in class org.joone.engine.Layer

Copies one layer into another, to obtain a type-transformation from one kind of Layer to another.

copyInto(NeuralLayer) - Method in interface org.joone.engine.NeuralLayer

Copies a Layer into another one, to obtain a type-transformation from a kind of Layer to another.

copyInto(NeuralLayer) - Method in class org.joone.net.NestedNeuralLayer

copyInto(NeuralLayer) - Method in class org.joone.net.NeuralNet

count - Variable in class org.joone.engine.Synapse

CRITERION - Static variable in class org.joone.engine.learning.FahlmanTeacherSynapse

Constant to indicate (key) the parameter for checking (in the monitor object) if the criterion has been forfilled or not.

CSVParser - Class in org.joone.util

Comma Separated Values Parser This helper class parses a string containing comma separated tokens.

CSVParser(String) - Constructor for class org.joone.util.CSVParser

Creates a new instance of CSVParser

CSVParser(String, boolean) - Constructor for class org.joone.util.CSVParser

Creates a new instance of CSVParser

currentLearningRate - Variable in class org.joone.engine.KohonenSynapse

currentRow - Variable in class org.joone.io.StreamInputSynapse

D

dataChanged(PlugInEvent) - Method in class org.joone.io.InputConnector

dataChanged(PlugInEvent) - Method in class org.joone.io.InputSwitchSynapse

dataChanged(PlugInEvent) - Method in class org.joone.io.StreamInputSynapse

dataChanged(PlugInEvent) - Method in class org.joone.io.StreamOutputSynapse

dataChanged(PlugInEvent) - Method in class org.joone.util.AbstractConverterPlugIn

dataChanged(PlugInEvent) - Method in interface org.joone.util.PlugInListener

This method is called by plug-ins whenever data is changed.

date_formater - Variable in class org.joone.io.YahooFinanceInputSynapse

DateEnd - Variable in class org.joone.io.YahooFinanceInputSynapse

DateStart - Variable in class org.joone.io.YahooFinanceInputSynapse

debug(Object) - Method in interface org.joone.log.ILogger

debug(Object, Throwable) - Method in interface org.joone.log.ILogger

debug(Object) - Method in class org.joone.log.JooneLogger

debug(Object, Throwable) - Method in class org.joone.log.JooneLogger

debug(Object) - Method in class org.joone.log.Log4JLogger

debug(Object, Throwable) - Method in class org.joone.log.Log4JLogger

DEFAULT_INITIAL - Static variable in class org.joone.engine.Matrix

This constant defines the boundaries of the default domain used for weight initialization.

Delay(double) - Method in class org.joone.engine.FIRFilter

DelayLayer - Class in org.joone.engine

Delay unit to create temporal windows from time series
O---> Yk(t-N)
|
...

DelayLayer() - Constructor for class org.joone.engine.DelayLayer

Constructor method

DelayLayer(String) - Constructor for class org.joone.engine.DelayLayer

Constructor method

DelayLayerBeanInfo - Class in org.joone.engine

DelayLayerBeanInfo() - Constructor for class org.joone.engine.DelayLayerBeanInfo

DelaySynapse - Class in org.joone.engine

This Synapse connects the N input neurons with the M output neurons using a matrix of FIRFilter elements of size NxM.

DelaySynapse() - Constructor for class org.joone.engine.DelaySynapse

delta - Variable in class org.joone.engine.Matrix

The value of the last modification, i.e. the last update.

DeltaBasedConvergenceObserver - Class in org.joone.engine.listeners

This observer observes if the network has convergenced based on the size of the weight updates (deltas).

DeltaBasedConvergenceObserver() - Constructor for class org.joone.engine.listeners.DeltaBasedConvergenceObserver

Creates a new instance of DeltaBasedConvergenceObserver

DeltaNormPlugIn - Class in org.joone.util

This plugin calculates the Delta Normalization on a time series.

DeltaNormPlugIn() - Constructor for class org.joone.util.DeltaNormPlugIn

Creates a new instance of DeltaNormPlugin

DeltaNormPlugInBeanInfo - Class in org.joone.util

DeltaNormPlugInBeanInfo() - Constructor for class org.joone.util.DeltaNormPlugInBeanInfo

DeltaRuleExtender - Class in org.joone.engine.extenders

This abstract class describes the methods needed for a delta rule extender, that is, a class that computes / changes the delta (update weight) value according to some algorithm.

DeltaRuleExtender() - Constructor for class org.joone.engine.extenders.DeltaRuleExtender

Creates a new instance of DeltaExtender

desired - Variable in class org.joone.engine.learning.AbstractTeacherSynapse

The stream from where to read the desired input.

DirectSynapse - Class in org.joone.engine

DirectSynapse() - Constructor for class org.joone.engine.DirectSynapse

disableAll() - Method in class org.joone.engine.Matrix

Disables all the weights (or biases) of this matrix.

disableCurrentConvergence - Variable in class org.joone.engine.listeners.ConvergenceObserver

The next flag indicates if the current convegence should be neglected.

disableCurrentConvergence() - Method in class org.joone.engine.listeners.ConvergenceObserver

Disables current convergence events.

distanceBetween(int, int, int, int, int, int) - Method in class org.joone.engine.SpatialMap

Calculates the squared distance between vector (x1,y1,z1) and (x2,y2,z2) and returns the result.

doOptimize() - Method in class org.joone.structure.Nakayama

Optimizes the activation functions of the network.

doSnapshot() - Method in class org.joone.util.SnapshotPlugin

Allows subclasses to define specific snapshot generation.

doSnapshot() - Method in class org.joone.util.SnapshotRecorder

Generates a snapshot of the current state of the network,

doStart() - Method in class org.joone.util.SnapshotPlugin

Allows subclasses to define specific start processing.

doStart() - Method in class org.joone.util.SnapshotRecorder

Creates the output stream used to write snapshots.

doStop() - Method in class org.joone.util.SnapshotPlugin

Allows subclasses to define specific stop processing.

doStop() - Method in class org.joone.util.SnapshotRecorder

Flush the output buffer and close the file.

DynamicAnnealing - Class in org.joone.util

This plugin controls the change of the learning rate based on the difference between the last two global error (E) values: if E(t) > E(t-1) then LR = LR * (1 - step/100) Note: step/100 because step is inserted as a % value from the user if E(t) <= E(t-1) then LR is unchanged

DynamicAnnealing() - Constructor for class org.joone.util.DynamicAnnealing

Creates a new instance of DynamicAnnealing

DynamicAnnealingBeanInfo - Class in org.joone.util

DynamicAnnealingBeanInfo() - Constructor for class org.joone.util.DynamicAnnealingBeanInfo

E

empty() - Method in class org.joone.engine.Fifo

Tests if this stack is empty.

enableAll() - Method in class org.joone.engine.Matrix

Enables all the weights (or biases) of this matrix.

enabled - Variable in class org.joone.engine.Matrix

Flag indicating whether the weight is on or off.

enabled - Variable in class org.joone.engine.Synapse

EOF - Variable in class org.joone.io.StreamInputSynapse

epochFinished() - Method in class org.joone.engine.learning.AbstractTeacherSynapse

This method is called to signal that an epoch has finished.

equal(MinMaxExtractorPlugIn.PointValue) - Method in class org.joone.util.MinMaxExtractorPlugIn.PointValue

error - Variable in class org.joone.engine.learning.AbstractTeacherSynapse

Into this FIFO (first-in-first-out) object, the calculated error (e.g.

error(Object) - Method in interface org.joone.log.ILogger

error(Object, Throwable) - Method in interface org.joone.log.ILogger

error(Object) - Method in class org.joone.log.JooneLogger

error(Object, Throwable) - Method in class org.joone.log.JooneLogger

error(Object) - Method in class org.joone.log.Log4JLogger

error(Object, Throwable) - Method in class org.joone.log.Log4JLogger

ErrorBasedConvergenceObserver - Class in org.joone.engine.listeners

This observer observes if the network has convergenced based on the sequence of training errors.

ErrorBasedConvergenceObserver() - Constructor for class org.joone.engine.listeners.ErrorBasedConvergenceObserver

Creates a new instance of ErrorBasedConvergenceObserver

ErrorBasedTerminator - Class in org.joone.engine.listeners

Stops a network whenever the training error of the network falls below a certain value.

ErrorBasedTerminator() - Constructor for class org.joone.engine.listeners.ErrorBasedTerminator

Creates a new instance of ErrorBasedTerminator

ErrorBasedTerminator(double) - Constructor for class org.joone.engine.listeners.ErrorBasedTerminator

Creates a new instance of ErrorBasedTerminator

errorChanged(NeuralNetEvent) - Method in class org.joone.engine.GaussianLayer

errorChanged(NeuralNetEvent) - Method in class org.joone.engine.KohonenSynapse

Not implemented.

errorChanged(NeuralNetEvent) - Method in class org.joone.engine.NeuralNetAdapter

errorChanged(NeuralNetEvent) - Method in interface org.joone.engine.NeuralNetListener

errorChanged(NeuralNetEvent) - Method in class org.joone.net.NeuralNet

Not implemented.

errorChanged(NeuralNetEvent) - Method in class org.joone.net.NeuralNetValidator

errorChanged(NeuralNetEvent) - Method in class org.joone.structure.Nakayama

errorChanged(NeuralNetEvent) - Method in class org.joone.util.MonitorPlugin

errorChanged(NeuralNetEvent) - Method in class org.joone.util.NeuralNetRunner

eval(String) - Method in class org.joone.script.JooneGroovyScript

eval(String) - Method in class org.joone.script.JooneScript

evaluateNeurons() - Method in class org.joone.structure.Nakayama

Evaluates neurons, that is, this function calculates information related to the contribution of the activation functions, based on the following three criteria:
Information from neurons to its output layers.

execute() - Method in class org.joone.util.NeuralNetRunner

ExtendableLearner - Class in org.joone.engine

Learners that extend this class are forced to implement certain functions, a so-called skeleton.

ExtendableLearner() - Constructor for class org.joone.engine.ExtendableLearner

Creates a new instance of ExtendableLearner

extractWinner(double[]) - Method in class org.joone.engine.SpatialMap

Extracts the X,Y,Z co-ordinates of the winning neuron in this spatial map.

F

FahlmanTeacherSynapse - Class in org.joone.engine.learning

This class extends the normal Teacher synapse and implements the Fahlman 40-20-40 criterion (the values can be changed).

FahlmanTeacherSynapse() - Constructor for class org.joone.engine.learning.FahlmanTeacherSynapse

Creates a new instance of FahlmanTeacherSynapse

FanInBasedWeightInitializer - Class in org.joone.engine.weights

The weights are uniformly distributed (that is randomly) within the range [LB/F_i, UB/F_i].

FanInBasedWeightInitializer() - Constructor for class org.joone.engine.weights.FanInBasedWeightInitializer

Creates a new instance of FanInBasedWeightInitializer.

FanInBasedWeightInitializer(double) - Constructor for class org.joone.engine.weights.FanInBasedWeightInitializer

Creates a new instance of FanInBasedWeightInitializer.

FanInBasedWeightInitializer(double, double) - Constructor for class org.joone.engine.weights.FanInBasedWeightInitializer

Creates a new instance of FanInBasedWeightInitializer

fastContinue() - Method in class org.joone.net.NeuralNet

fastRun() - Method in class org.joone.net.NeuralNet

fastRun(int) - Method in class org.joone.net.NeuralNet

fatal(Object) - Method in interface org.joone.log.ILogger

fatal(Object, Throwable) - Method in interface org.joone.log.ILogger

fatal(Object) - Method in class org.joone.log.JooneLogger

fatal(Object, Throwable) - Method in class org.joone.log.JooneLogger

fatal(Object) - Method in class org.joone.log.Log4JLogger

fatal(Object, Throwable) - Method in class org.joone.log.Log4JLogger

FATAL - Static variable in class org.joone.net.NetCheck

Fatal check severity.

Fifo - Class in org.joone.engine

The Fifo class represents a first-in-first-out (FIFO) stack of objects.

Fifo() - Constructor for class org.joone.engine.Fifo

fifo - Variable in class org.joone.engine.learning.ComparisonSynapse

fifo - Variable in class org.joone.io.StreamOutputSynapse

FileInputSynapse - Class in org.joone.io

Allows data to be presented to the network from a file.

FileInputSynapse() - Constructor for class org.joone.io.FileInputSynapse

FileInputSynapseBeanInfo - Class in org.joone.io

FileInputSynapseBeanInfo() - Constructor for class org.joone.io.FileInputSynapseBeanInfo

FileOutputSynapse - Class in org.joone.io

FileOutputSynapse() - Constructor for class org.joone.io.FileOutputSynapse

FileOutputSynapseBeanInfo - Class in org.joone.io

FileOutputSynapseBeanInfo() - Constructor for class org.joone.io.FileOutputSynapseBeanInfo

Filter(double[]) - Method in class org.joone.engine.FIRFilter

finalize() - Method in class org.joone.engine.Layer

Method to help remove disused references quickly when the layer goes out of scope.

findCorrelation(List, int, int) - Method in class org.joone.structure.Nakayama

Finds a correlation from a given list of correlations.

findIndex(List, int, int) - Method in class org.joone.structure.Nakayama

Finds the index of a neuron taking into account the deletion of previous neurons.

findInputLayer() - Method in class org.joone.net.NeuralNet

Returns the input layer, by searching for it following the rules written in Layer.isInputLayer.

findInputLayer(Synapse) - Method in class org.joone.structure.Nakayama

Finds the input layer of a synapse.

findOutputLayer() - Method in class org.joone.net.NeuralNet

Returns the output layer by searching for it following the rules written in Layer.isOutputLayer.

findOutputLayer(Synapse) - Method in class org.joone.structure.Nakayama

Finds the output layer of a synapse.

fir - Variable in class org.joone.engine.DelaySynapse

fireCicleTerminated() - Method in class org.joone.engine.Monitor

Invoked when an epoch finishes

fireDataChanged() - Method in class org.joone.io.StreamInputSynapse

Fires an event to the plug-in listeners notifying that the underlying data has changed.

fireDataChanged() - Method in class org.joone.util.AbstractConverterPlugIn

Fires a data changed event to all PlugInListeners that are registered to receive events from this plug-in object.

fireErrorChanged() - Method in class org.joone.engine.Monitor

Invoked when the GlobalError changes

fireFwdGet() - Method in class org.joone.engine.Layer

Calls all the fwdGet methods on the input synapses to get the input patterns

fireFwdPut(Pattern) - Method in class org.joone.engine.Layer

Calls all the fwdPut methods on the output synapses to pass them the calculated patterns

fireNetConverged(Monitor) - Method in class org.joone.engine.listeners.ConvergenceObserver

Fires a net converged event.

fireNetStarted() - Method in class org.joone.engine.Monitor

Invoked when the net starts

fireNetStopped() - Method in class org.joone.engine.Monitor

Invoked when all the epochs finish

fireNetStoppedError(String) - Method in class org.joone.engine.Monitor

Invoked when an error occurs

fireNetValidated() - Method in class org.joone.net.NeuralNetValidator

fireRevGet() - Method in class org.joone.engine.Layer

Calls all the revGet methods on the output synapses to get the error gradients

fireRevPut(Pattern) - Method in class org.joone.engine.Layer

Calls all the revPut methods on the input synapses to get the input patterns and pass them the resulting calculated gradients

FIRFilter - Class in org.joone.engine

Element of a connection representing a FIR filter (Finite Impulse Response).

FIRFilter(int) - Constructor for class org.joone.engine.FIRFilter

firstTime - Variable in class org.joone.engine.learning.ComparisonSynapse

fixAll() - Method in class org.joone.engine.Matrix

Fixes all the weights (or biases) of this matrix.

fixed - Variable in class org.joone.engine.Matrix

Flag indicating whether the weight is fixed or trainable / adjustable.

flush() - Method in class org.joone.io.FileOutputSynapse

flush() - Method in class org.joone.io.XLSOutputSynapse

Write any remaining data to the XLS file.

formatMsg(String, String) - Method in class org.joone.log.JooneLogger

formats - Variable in class org.joone.util.SnapshotFormatEditor

The supported snapshot formats

forward(double[]) - Method in class org.joone.engine.BiasedLinearLayer

forward(double[]) - Method in class org.joone.engine.BufferedSynapse

forward(double[]) - Method in class org.joone.engine.ContextLayer

forward(double[]) - Method in class org.joone.engine.DelayLayer

forward(double[]) - Method in class org.joone.engine.DelaySynapse

forward(double[]) - Method in class org.joone.engine.DirectSynapse

forward(double) - Method in class org.joone.engine.FIRFilter

forward(double[]) - Method in class org.joone.engine.FullSynapse

forward(double[]) - Method in class org.joone.engine.GaussianLayer

This method takes as input an array of euclidean distances between the input and weights calculated by the previous synapse.

forward(double[]) - Method in class org.joone.engine.GaussLayer

forward(double[]) - Method in class org.joone.engine.KohonenSynapse

Fowards the euclidean distance squared between the input vector and the weight vector to the next layer.

forward(double[]) - Method in class org.joone.engine.Layer

Transfer function to recall a result on a trained net

forward(double[]) - Method in class org.joone.engine.learning.AbstractTeacherSynapse

forward(double[]) - Method in class org.joone.engine.learning.ComparingSynapse

Recall phase

forward(double[]) - Method in class org.joone.engine.learning.ComparisonSynapse

forward(double[]) - Method in class org.joone.engine.learning.TeachingSynapse

Recall phase

forward(double[]) - Method in class org.joone.engine.LinearLayer

forward(double[]) - Method in class org.joone.engine.LogarithmicLayer

Transfer function to recall a result on a trained net

forward(double[]) - Method in class org.joone.engine.MemoryLayer

Transfer function to recall a result on a trained net

forward(double[]) - Method in class org.joone.engine.OutputSwitchSynapse

forward(double[]) - Method in class org.joone.engine.RbfGaussianLayer

forward(double[]) - Method in class org.joone.engine.RbfInputSynapse

public Pattern revGet() { // The correct way is to overwrite revGet() to return null, // because this synapse does not perform back propagation, // however, there exist somewhere a bug.

forward(double[]) - Method in class org.joone.engine.SigmoidLayer

This method accepts an array of values in input and forwards it according to the Sigmoid propagation pattern.

forward(double[]) - Method in class org.joone.engine.SineLayer

forward(double[]) - Method in class org.joone.engine.SoftmaxLayer

forward(double[]) - Method in class org.joone.engine.Synapse

Recall function

forward(double[]) - Method in class org.joone.engine.TanhLayer

forward(double[]) - Method in class org.joone.engine.WTALayer

This method accepts an array of values from the input and forwards it according to the Winner Takes All strategy.

forward(double[]) - Method in class org.joone.io.InputSwitchSynapse

forward(double[]) - Method in class org.joone.io.StreamInputSynapse

forward(double[]) - Method in class org.joone.io.StreamOutputSynapse

forward(double[]) - Method in class org.joone.net.NestedNeuralLayer

forward(double[]) - Method in class org.joone.structure.PatternForwardedSynapse

freq_conv - Variable in class org.joone.io.YahooFinanceInputSynapse

frequency - Variable in class org.joone.io.YahooFinanceInputSynapse

FreudRuleFullSynapse - Class in org.joone.engine

FreudRuleFullSynapse() - Constructor for class org.joone.engine.FreudRuleFullSynapse

FullSynapse - Class in org.joone.engine

FullSynapse() - Constructor for class org.joone.engine.FullSynapse

funcDelta(int, int, int) - Method in class org.joone.util.DeltaNormPlugIn

Calculates f(i,delay) used by getDelta >>>> This method can be overriden in order to implement different volatility window algorithms

fwdGet() - Method in class org.joone.engine.BufferedSynapse

Return the first element of the FIFO structure, if exists.

fwdGet() - Method in interface org.joone.engine.InputPatternListener

Returns the pattern coming from the previous layer during the recall phase

fwdGet() - Method in class org.joone.engine.learning.AbstractTeacherSynapse

Here, it forwards (returns) the pushed error (in FIFO order).

fwdGet() - Method in class org.joone.engine.learning.ComparisonSynapse

fwdGet() - Method in class org.joone.engine.Synapse

fwdGet() - Method in class org.joone.io.InputSwitchSynapse

Returns the pattern coming from the previous layer during the recall phase

fwdGet(InputConnector) - Method in class org.joone.io.InputSwitchSynapse

Returns the pattern coming from the previous layer during the recall phase.

fwdGet() - Method in class org.joone.io.MultipleInputSynapse

fwdGet(InputConnector) - Method in class org.joone.io.MultipleInputSynapse

fwdGet() - Method in class org.joone.io.StreamInputSynapse

fwdGet(InputConnector) - Method in class org.joone.io.StreamInputSynapse

This method is called by the InputConnector in order to get the next input pattern available for that connector

fwdGet() - Method in class org.joone.util.LearningSwitch

Connects the right input synapse depending on the Monitor's 'validation' parameter

fwdGet(InputConnector) - Method in class org.joone.util.LearningSwitch

Connects the right input synapse depending on the Monitor's 'validation' parameter.

fwdLock - Variable in class org.joone.engine.Synapse

fwdPut(Pattern) - Method in class org.joone.engine.BufferedSynapse

Writes the input pattern into the FIFO structure.

fwdPut(Pattern) - Method in class org.joone.engine.learning.AbstractTeacherSynapse

fwdPut(Pattern) - Method in class org.joone.engine.learning.ComparingSynapse

fwdPut(Pattern) - Method in class org.joone.engine.learning.ComparisonSynapse

fwdPut(Pattern) - Method in class org.joone.engine.learning.TeacherSynapse

fwdPut(Pattern) - Method in class org.joone.engine.learning.TeachingSynapse

fwdPut(Pattern) - Method in interface org.joone.engine.OutputPatternListener

Method to put a pattern forward to the next layer

fwdPut(Pattern) - Method in class org.joone.engine.OutputSwitchSynapse

Method to put a pattern forward to the next layer

fwdPut(Pattern) - Method in class org.joone.engine.Synapse

fwdPut(Pattern) - Method in class org.joone.io.StreamOutputSynapse

The standard fwdPut method.

fwdPut(Pattern) - Method in class org.joone.structure.PatternForwardedSynapse

fwdRun(Pattern) - Method in class org.joone.engine.Layer

Implementation code for the single-thread version of Joone /********************************************************* /** This method serves to a single forward step when the Layer is called from an external thread

fwdRun(Pattern) - Method in class org.joone.net.NestedNeuralLayer

G

GaussianLayer - Class in org.joone.engine

This layer implements the Gaussian Neighborhood SOM strategy.

GaussianLayer() - Constructor for class org.joone.engine.GaussianLayer

The default constructor for this GaussianLayer.

GaussianLayer(String) - Constructor for class org.joone.engine.GaussianLayer

The constructor that takes a name of the layer.

GaussianLayerBeanInfo - Class in org.joone.engine

GaussianLayerBeanInfo() - Constructor for class org.joone.engine.GaussianLayerBeanInfo

GaussianSpatialMap - Class in org.joone.engine

This class implements the SpatialMap interface providing a circular spatial map for use with the GaussianLayer and Kohonen Networks.

GaussianSpatialMap() - Constructor for class org.joone.engine.GaussianSpatialMap

Creates a new instance of CircularSpatialMap

GaussLayer - Class in org.joone.engine

The output of a Gauss(ian) layer neuron is the sum of the weighted input values, applied to a gaussian curve (exp(- x * x)).

GaussLayer() - Constructor for class org.joone.engine.GaussLayer

Creates a new instance of GaussLayer

GaussLayer(String) - Constructor for class org.joone.engine.GaussLayer

Creates a new instance of GaussLayer

getActiveInput() - Method in class org.joone.io.InputSwitchSynapse

Returns the name of the actual connected input synapse

getActiveOutput() - Method in class org.joone.engine.OutputSwitchSynapse

Returns the name of the actual connected output synapse

getActiveSynapse() - Method in class org.joone.engine.OutputSwitchSynapse

Getter for property activeSynapse.

getActiveSynapse() - Method in class org.joone.io.InputSwitchSynapse

Getter for property activeSynapse.

getAdvancedColumnSelector() - Method in class org.joone.io.InputSwitchSynapse

getAdvancedColumnSelector() - Method in class org.joone.io.StreamInputSynapse

getAdvancedMovAvgSpec() - Method in class org.joone.util.MovingAveragePlugIn

Gets the Moving Average value/s requested by the user.

getAdvancedSerieSelector() - Method in class org.joone.util.AbstractConverterPlugIn

Gets the AdvancedSerieSelector.

getAllInputs() - Method in class org.joone.engine.Layer

Returns the vector of the input listeners

getAllInputs() - Method in interface org.joone.engine.NeuralLayer

Returns the vector of the input listeners

getAllInputs() - Method in class org.joone.io.InputSwitchSynapse

getAllInputs() - Method in class org.joone.net.NestedNeuralLayer

getAllInputs() - Method in class org.joone.net.NeuralNet

getAllOutputs() - Method in class org.joone.engine.Layer

Returns the vector of the output listeners

getAllOutputs() - Method in interface org.joone.engine.NeuralLayer

Returns the vector of the input listeners

getAllOutputs() - Method in class org.joone.engine.OutputSwitchSynapse

getAllOutputs() - Method in class org.joone.net.NestedNeuralLayer

getAllOutputs() - Method in class org.joone.net.NeuralNet

getAllPatterns() - Method in class org.joone.io.MemoryOutputSynapse

Waits for the stopPattern and then returns all the patterns received in the last cycle

getAllPlugInListeners() - Method in class org.joone.io.StreamInputSynapse

Gets all the plug-in listeners.

getArray() - Method in class org.joone.engine.Pattern

getAvailableSheetList() - Method in class org.joone.io.XLSInputSynapse

Gets a list of available sheets from the XLS file.

getAvailableSheetList() - Method in class org.joone.io.XLSOutputSynapse

Obtains a list of available sheet names from the XLS file.

getBatchSize() - Method in class org.joone.engine.BatchLearner

Deprecated. use monitor.getBatchSize()

getBatchSize() - Method in class org.joone.engine.extenders.BatchModeExtender

Deprecated. use monitor.getBatchSize()

getBatchSize() - Method in class org.joone.engine.Monitor

Getter for the property BatchSize

getBatchSize() - Method in class org.joone.engine.RpropParameters

Gets the batchsize.

getBeanDescriptor() - Method in class org.joone.engine.DelayLayerBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.engine.GaussianLayerBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.engine.KohonenSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.engine.LayerBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.engine.learning.ComparingSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.engine.learning.TeacherSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.engine.learning.TeachingSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.engine.LinearLayerBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.engine.MatrixBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.engine.MemoryLayerBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.engine.MonitorBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.engine.OutputSwitchSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.engine.PatternBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.engine.SimpleLayerBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.engine.SynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.engine.TanhLayerBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.engine.WTALayerBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.io.FileInputSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.io.FileOutputSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.io.ImageInputSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.io.ImageOutputSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.io.InputConnectorBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.io.InputSwitchSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.io.JDBCInputSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.io.JDBCOutputSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.io.StreamInputSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.io.StreamOutputSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.io.URLInputSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.io.XLSInputSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.io.XLSOutputSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.io.YahooFinanceInputSynapseBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.net.NestedNeuralLayerBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.net.NeuralNetBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.util.CenterOnZeroPlugInBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.util.ConverterPlugInBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.util.DeltaNormPlugInBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.util.DynamicAnnealingBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.util.LearningSwitchBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.util.MinMaxExtractorPlugInBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.util.MonitorPluginBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.util.MovingAveragePlugInBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.util.NormalizerPlugInBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.util.OutputConverterPlugInBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.util.ShufflePluginBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.util.SnapshotRecorderBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.util.ToBinaryPluginBeanInfo

Gets the bean's BeanDescriptors.

getBeanDescriptor() - Method in class org.joone.util.UnNormalizerOutputPlugInBeanInfo

Gets the bean's BeanDescriptors.

getBeta() - Method in class org.joone.engine.ContextLayer

Getter for property beta.

getBeta() - Method in class org.joone.engine.LinearLayer

Returns the value of the beta parameter

getBias() - Method in class org.joone.engine.Layer

Return the bias matrix

getBias() - Method in interface org.joone.engine.NeuralLayer

Return the bias matrix

getBias() - Method in class org.joone.net.NestedNeuralLayer

getBias() - Method in class org.joone.net.NeuralNet

getBinary(double) - Method in class org.joone.util.ToBinaryPlugin

Converts a number to a binary number (the part after the .

getColourMode() - Method in class org.joone.io.ImageInputSynapse

getColourMode() - Method in class org.joone.io.ImageOutputSynapse

Determines if this synapse is in colour mode. false if in grey scale mode.

getComponent() - Method in class org.joone.inspection.implementations.BiasInspection

getComponent() - Method in class org.joone.inspection.implementations.InputsInspection

getComponent() - Method in class org.joone.inspection.implementations.WeightsInspection

getComponent() - Method in interface org.joone.inspection.Inspection

Method to get the inspectable values of the Inspectable class.

getCount() - Method in class org.joone.engine.Pattern

getCurrentCicle() - Method in class org.joone.engine.Monitor

Returns the current epoch

getCurrentGaussianSize() - Method in class org.joone.engine.SpatialMap

Gets the current gaussian size of the spatial neighborhood.

getCurrentRow() - Method in class org.joone.io.StreamInputSynapse

Getter for property currentRow.

getCycles() - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver

Gets the number of cycles over which convergence is checked.

getCycles() - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver

Gets the number of cycles over which convergence is checked.

getDataMax() - Method in class org.joone.util.NormalizerPlugIn

Gets the max value of the input data Creation date: (23/10/2000 23.25.55)

getDataMin() - Method in class org.joone.util.NormalizerPlugIn

Gets the min value of the input data Creation date: (23/10/2000 23.25.32)

getDateEnd() - Method in class org.joone.io.YahooFinanceInputSynapse

Deprecated. Use getEndDate instead

getDateStart() - Method in class org.joone.io.YahooFinanceInputSynapse

Deprecated. Use getStartDate instead

getdbURL() - Method in class org.joone.io.JDBCInputSynapse

Gets the name of the database Universal Resource Location (URL)

getdbURL() - Method in class org.joone.io.JDBCOutputSynapse

Gets the name of the database Universal Resource Location (URL)

getDecay() - Method in class org.joone.engine.extenders.WeightDecayExtender

Gets the decay parameter.

getDecimalPoint() - Method in class org.joone.io.ImageInputTokenizer

getDecimalPoint() - Method in interface org.joone.io.InputSynapse

getDecimalPoint() - Method in class org.joone.io.MemoryInputTokenizer

getDecimalPoint() - Method in interface org.joone.io.PatternTokenizer

getDecimalPoint() - Method in class org.joone.io.StreamInputSynapse

Returns the decimal point accepted (19/04/00 0.23.56)

getDecimalPoint() - Method in class org.joone.io.StreamInputTokenizer

getDecimalPoint() - Method in class org.joone.io.XLSInputTokenizer

getDefaultDelta(double[], int) - Method in class org.joone.engine.ExtendableLearner

Gets the default (normal calculation of) delta.

getDefaultDelta(double[], int, double[], int) - Method in class org.joone.engine.ExtendableLearner

Gets the default (normal calculation of) delta.

getDefaultEventIndex() - Method in class org.joone.engine.DelayLayerBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.engine.GaussianLayerBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.engine.KohonenSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.engine.LayerBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.engine.learning.ComparingSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.engine.learning.TeacherSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.engine.learning.TeachingSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.engine.LinearLayerBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.engine.MatrixBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.engine.MemoryLayerBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.engine.MonitorBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.engine.OutputSwitchSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.engine.PatternBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.engine.SimpleLayerBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.engine.SynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.engine.TanhLayerBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.engine.WTALayerBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.io.FileInputSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.io.FileOutputSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.io.ImageInputSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.io.ImageOutputSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.io.InputConnectorBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.io.InputSwitchSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.io.JDBCInputSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.io.JDBCOutputSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.io.StreamInputSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.io.StreamOutputSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.io.URLInputSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.io.XLSInputSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.io.XLSOutputSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.io.YahooFinanceInputSynapseBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.net.NestedNeuralLayerBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.net.NeuralNetBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.util.CenterOnZeroPlugInBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.util.ConverterPlugInBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.util.DeltaNormPlugInBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.util.DynamicAnnealingBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.util.LearningSwitchBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.util.MinMaxExtractorPlugInBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.util.MonitorPluginBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.util.MovingAveragePlugInBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.util.NormalizerPlugInBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.util.OutputConverterPlugInBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.util.ShufflePluginBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.util.SnapshotRecorderBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.util.ToBinaryPluginBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultEventIndex() - Method in class org.joone.util.UnNormalizerOutputPlugInBeanInfo

A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.

getDefaultGradientBias(double[], int) - Method in class org.joone.engine.ExtendableLearner

Gets the default (normal calculation of the) gradient for biases.

getDefaultGradientWeight(double[], int, double[], int) - Method in class org.joone.engine.ExtendableLearner

Gets the default (normal calculation of the) gradient for weights.

getDefaultInput() - Method in class org.joone.io.InputSwitchSynapse

Returns the name of the default input synapse that is connected when the reset method is called

getDefaultOutput() - Method in class org.joone.engine.OutputSwitchSynapse

Returns the name of the default output synapse that is connected when the reset method is called

getDefaultPropertyIndex() - Method in class org.joone.engine.DelayLayerBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.engine.GaussianLayerBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.engine.KohonenSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.engine.LayerBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.engine.learning.ComparingSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.engine.learning.TeacherSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.engine.learning.TeachingSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.engine.LinearLayerBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.engine.MatrixBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.engine.MemoryLayerBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.engine.MonitorBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.engine.OutputSwitchSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.engine.PatternBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.engine.SimpleLayerBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.engine.SynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.engine.TanhLayerBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.engine.WTALayerBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.io.FileInputSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.io.FileOutputSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.io.ImageInputSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.io.ImageOutputSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.io.InputConnectorBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.io.InputSwitchSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.io.JDBCInputSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.io.JDBCOutputSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.io.StreamInputSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.io.StreamOutputSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.io.URLInputSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.io.XLSInputSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.io.XLSOutputSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.io.YahooFinanceInputSynapseBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.net.NestedNeuralLayerBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.net.NeuralNetBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.util.CenterOnZeroPlugInBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.util.ConverterPlugInBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.util.DeltaNormPlugInBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.util.DynamicAnnealingBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.util.LearningSwitchBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.util.MinMaxExtractorPlugInBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.util.MonitorPluginBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.util.MovingAveragePlugInBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.util.NormalizerPlugInBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.util.OutputConverterPlugInBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.util.ShufflePluginBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.util.SnapshotRecorderBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.util.ToBinaryPluginBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultPropertyIndex() - Method in class org.joone.util.UnNormalizerOutputPlugInBeanInfo

A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.

getDefaultSynapse() - Method in class org.joone.engine.OutputSwitchSynapse

Getter for property defaultSynapse.

getDefaultSynapse() - Method in class org.joone.io.InputSwitchSynapse

Getter for property defaultSynapse.

getDelta(double[], int) - Method in class org.joone.engine.ExtendableLearner

Computes the delta value for a bias.

getDelta(double[], int, double[], int) - Method in class org.joone.engine.ExtendableLearner

Computes the delta value for a weight.

getDelta(double[], int, double) - Method in class org.joone.engine.extenders.DeltaRuleExtender

Computes the delta value for a bias.

getDelta(double[], int, double[], int, double) - Method in class org.joone.engine.extenders.DeltaRuleExtender

Computes the delta value for a weight.

getDelta(double[], int, double) - Method in class org.joone.engine.extenders.MomentumExtender

getDelta(double[], int, double[], int, double) - Method in class org.joone.engine.extenders.MomentumExtender

getDelta(double[], int, double) - Method in class org.joone.engine.extenders.RpropExtender

getDelta(double[], int, double[], int, double) - Method in class org.joone.engine.extenders.RpropExtender

getDelta(double[], int, double) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender

getDelta(double[], int, double[], int, double) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender

getDelta(double[], int, double) - Method in class org.joone.engine.extenders.WeightDecayExtender

getDelta(double[], int, double[], int, double) - Method in class org.joone.engine.extenders.WeightDecayExtender

getDelta() - Method in class org.joone.engine.Matrix

Gets delta[][].

getDelta(int, int, int, boolean) - Method in class org.joone.util.DeltaNormPlugIn

getDescriptor() - Method in class org.joone.net.NeuralNet

getDesired() - Method in class org.joone.engine.learning.AbstractTeacherSynapse

Gets the stream to read the desired output.

getDesired() - Method in interface org.joone.engine.learning.ComparingElement

Getter for the desired data set

getDesired() - Method in class org.joone.engine.learning.ComparingSynapse

Insert the method's description here.

getDesired() - Method in class org.joone.engine.learning.ComparisonSynapse

Inserire qui la descrizione del metodo.

getDesired() - Method in class org.joone.engine.learning.TeachingSynapse

Insert the method's description here.

getDesiredHeight() - Method in class org.joone.io.ImageInputSynapse

getDesiredWidth() - Method in class org.joone.io.ImageInputSynapse

getDimension() - Method in class org.joone.engine.Layer

Returns the number of neurons contained in the layer

getDimension() - Method in class org.joone.engine.MemoryLayer

getDistance(Pattern, Pattern) - Method in class org.joone.util.RbfRandomCenterSelector

Gets the distance between two centers.

getdriverName() - Method in class org.joone.io.JDBCInputSynapse

Gets the name of the database jdbc driver used by this JDBC input syanpse.

getdriverName() - Method in class org.joone.io.JDBCOutputSynapse

Gets the name of the database jdbc driver used by this JDBC input syanpse.

getEmbeddedNet() - Method in class org.joone.net.NestedNeuralLayer

getEnabled() - Method in class org.joone.engine.Matrix

Gets enabled.

getEndDate() - Method in class org.joone.io.YahooFinanceInputSynapse

getEpsilon() - Method in class org.joone.structure.Nakayama

Gets epsilon, the threshold to decide if a neuron should be deleted or not.

getErrorLevel() - Method in class org.joone.engine.listeners.ErrorBasedTerminator

Gets the error level.

getEtaDec() - Method in class org.joone.engine.RpropParameters

Gets the decremental learning factor/rate.

getEtaInc() - Method in class org.joone.engine.RpropParameters

Gets the incremental learning factor/rate.

getEventSetDescriptors() - Method in class org.joone.engine.DelayLayerBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.engine.GaussianLayerBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.engine.KohonenSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.engine.LayerBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.engine.learning.ComparingSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.engine.learning.TeacherSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.engine.learning.TeachingSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.engine.LinearLayerBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.engine.MatrixBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.engine.MemoryLayerBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.engine.MonitorBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.engine.OutputSwitchSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.engine.PatternBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.engine.SimpleLayerBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.engine.SynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.engine.TanhLayerBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.engine.WTALayerBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.io.FileInputSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.io.FileOutputSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.io.ImageInputSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.io.ImageOutputSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.io.InputConnectorBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.io.InputSwitchSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.io.JDBCInputSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.io.JDBCOutputSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.io.StreamInputSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.io.StreamOutputSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.io.URLInputSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.io.XLSInputSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.io.XLSOutputSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.io.YahooFinanceInputSynapseBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.net.NestedNeuralLayerBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.net.NeuralNetBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.util.CenterOnZeroPlugInBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.util.ConverterPlugInBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.util.DeltaNormPlugInBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.util.DynamicAnnealingBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.util.LearningSwitchBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.util.MinMaxExtractorPlugInBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.util.MonitorPluginBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.util.MovingAveragePlugInBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.util.NormalizerPlugInBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.util.OutputConverterPlugInBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.util.ShufflePluginBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.util.SnapshotRecorderBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.util.ToBinaryPluginBeanInfo

Gets the bean's EventSetDescriptors.

getEventSetDescriptors() - Method in class org.joone.util.UnNormalizerOutputPlugInBeanInfo

Gets the bean's EventSetDescriptors.

getFifo() - Method in class org.joone.io.StreamOutputSynapse

Getter for property fifo.

getFileFilter() - Method in class org.joone.io.ImageInputSynapse

getFileName() - Method in class org.joone.io.FileInputSynapse

Deprecated. use getInputFile instead

getFileName() - Method in class org.joone.io.FileOutputSynapse

Inserire qui la descrizione del metodo.

getFileName() - Method in class org.joone.io.XLSInputSynapse

Deprecated. use getInputFile instead

getFileName() - Method in class org.joone.io.XLSOutputSynapse

Returns the XLS file name used by this synapse.

getFilename() - Method in class org.joone.util.SnapshotRecorder

Get the name of the file to which snapshots will be written.

getFirstCol() - Method in interface org.joone.io.InputSynapse

getFirstCol() - Method in class org.joone.io.StreamInputSynapse

Deprecated.

getFirstRow() - Method in class org.joone.io.InputSwitchSynapse

getFirstRow() - Method in interface org.joone.io.InputSynapse

getFirstRow() - Method in class org.joone.io.StreamInputSynapse

getFixed() - Method in class org.joone.engine.Matrix

Gets fixed[][].

getFlatSpotConstant() - Method in class org.joone.engine.SigmoidLayer

Gets the flat spot constant.

getFlatSpotConstant() - Method in class org.joone.engine.TanhLayer

Gets the flat spot constant.

getFormat() - Method in class org.joone.util.SnapshotRecorder

Get the format used for snapshots.

getFwdLock() - Method in class org.joone.engine.Synapse

Getter for property fwdLock.

getGamma(int, int, int, int) - Method in class org.joone.structure.Nakayama

Gets gammajj' (is equal to gammaj'j).

getGaussianParameters() - Method in class org.joone.engine.RbfGaussianLayer

Gets the parameters that define the Gaussian RBFs.

getGaussianParameters() - Method in class org.joone.util.RbfRandomCenterSelector

Gets the parameters for the different nodes in a RBF layer.

getGlobalError() - Method in class org.joone.engine.Monitor

Returns the actual (R)MSE of the NN

getGradientBias(double[], int) - Method in class org.joone.engine.ExtendableLearner

Gets the gradient for biases.

getGradientBias(double[], int, double) - Method in class org.joone.engine.extenders.GradientExtender

Computes the gradient value for a bias.

getGradientWeight(double[], int, double[], int) - Method in class org.joone.engine.ExtendableLearner

Gets the gradient for weights.

getGradientWeight(double[], int, double[], int, double) - Method in class org.joone.engine.extenders.GradientExtender

Computes the gradient value for a weight.

getHeight() - Method in class org.joone.io.ImageOutputSynapse

Gets the desired height of the generated image files.

getIgnoreBefore() - Method in class org.joone.engine.Synapse

Returns the number of the ignored cycles at beginning of each epoch.

getImageDirectory() - Method in class org.joone.io.ImageInputSynapse

getImageFileType() - Method in class org.joone.io.ImageOutputSynapse

Obtains the image type JPG = 1, GIF = 2, PNG = 3 of the format of the output files.

getInDataMax() - Method in class org.joone.util.UnNormalizerOutputPlugIn

Gets the max value of the input data set

getInDataMin() - Method in class org.joone.util.UnNormalizerOutputPlugIn

Gets the min value of the input data set

getInitialDelta(int, int) - Method in class org.joone.engine.RpropParameters

Gets the initial delta value.

getInitialGaussianSize() - Method in class org.joone.engine.GaussianLayer

Getter for property initialGaussianSize.

getInitialGaussianSize() - Method in class org.joone.engine.SpatialMap

Gets the size of the spatial neighborhood.

getInput(String) - Method in class org.joone.io.StreamInputFactory

getInputDimension() - Method in interface org.joone.engine.LearnableSynapse

getInputDimension() - Method in class org.joone.engine.learning.ComparingSynapse

getInputDimension method comment.

getInputDimension() - Method in class org.joone.engine.learning.TeachingSynapse

getInputDimension method comment.

getInputDimension() - Method in interface org.joone.engine.OutputPatternListener

Returns the dimension of the output synapse

getInputDimension() - Method in class org.joone.engine.OutputSwitchSynapse

Returns the dimension of the output synapse

getInputDimension() - Method in class org.joone.engine.Synapse

Returns the input dimension of the synapse.

getInputFile() - Method in class org.joone.io.FileInputSynapse

getInputFile() - Method in class org.joone.io.XLSInputSynapse

getInputLayer() - Method in class org.joone.net.NeuralNet

Returns the input layer of the network.

getInputPatterns() - Method in class org.joone.io.StreamInputSynapse

Getter for property inputPatterns.

getInputSynapse(String) - Method in class org.joone.io.InputSwitchSynapse

getInputVector() - Method in class org.joone.io.StreamInputSynapse

getInputVector() - Method in class org.joone.util.AbstractConverterPlugIn

Gets the input vector of Patterns with which this converter must process.

getInspections() - Method in class org.joone.io.InputSwitchSynapse

getK() - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender

Gets the noise decay constant.

getKeys() - Method in class org.joone.engine.Monitor

Return all the keys of the parameters contained in this Monitor.

getKeys() - Method in class org.joone.net.NeuralNet

Return all the keys of the parameters contained in the net.

getLargestDimension() - Method in class org.joone.engine.GaussianLayer

Gets the largest layer dimension size.

getLastCol() - Method in interface org.joone.io.InputSynapse

getLastCol() - Method in class org.joone.io.StreamInputSynapse

Deprecated.

getLastEpoch() - Method in class org.joone.net.NeuralNetAttributes

getLastOutputs() - Method in class org.joone.engine.Layer

Gets the values lastly outputed by the neurons of this layer.

getLastPattern() - Method in class org.joone.io.MemoryOutputSynapse

This method waits for the zeroPattern and returns the last valid pattern received

getLastRow() - Method in class org.joone.io.InputSwitchSynapse

getLastRow() - Method in interface org.joone.io.InputSynapse

getLastRow() - Method in class org.joone.io.StreamInputSynapse

getLayer() - Method in class org.joone.engine.AbstractLearner

Gets the layer the learner is associated with.

getLayer(String) - Method in class org.joone.net.NeuralNet

getLayerDepth() - Method in class org.joone.engine.GaussianLayer

Getter for property LayerDepth.

getLayerDepth() - Method in class org.joone.engine.WTALayer

Getter for property LayerDepth.

getLayerHeight() - Method in class org.joone.engine.GaussianLayer

Getter for property LayerHeight.

getLayerHeight() - Method in class org.joone.engine.WTALayer

Getter for property LayerHeight.

getLayerName() - Method in class org.joone.engine.Layer

Returns the name of the layer

getLayerName() - Method in interface org.joone.engine.NeuralLayer

Returns the name of the layer

getLayerName() - Method in class org.joone.net.NestedNeuralLayer

getLayerName() - Method in class org.joone.net.NeuralNet

getLayers() - Method in class org.joone.net.NeuralNet

getLayerWidth() - Method in class org.joone.engine.GaussianLayer

Getter for property LayerWidth.

getLayerWidth() - Method in class org.joone.engine.WTALayer

Getter for property LayerWidth.

getLearner() - Method in class org.joone.engine.BiasedLinearLayer

Deprecated. - Used only for backward compatibility

getLearner() - Method in class org.joone.engine.extenders.LearnerExtender

Gets the learner this object is extending.

getLearner() - Method in class org.joone.engine.FullSynapse

Deprecated. - Used only for backward compatibility

getLearner() - Method in class org.joone.engine.KohonenSynapse

Deprecated. - Used only for backward compatibility

getLearner() - Method in class org.joone.engine.Layer

Returns the appropriate Learner object for this class depending on the Monitor.learningMode property value

getLearner() - Method in interface org.joone.engine.Learnable

getLearner(Monitor) - Method in interface org.joone.engine.LearnerFactory

Gets a learner for a synapse or layer.

getLearner() - Method in class org.joone.engine.LogarithmicLayer

Deprecated. - Used only for backward compatibility

getLearner(int) - Method in class org.joone.engine.Monitor

Getter for the Learner declared at position 'index'

getLearner() - Method in class org.joone.engine.Monitor

Gets a learner for a synapse or layer.

getLearner() - Method in class org.joone.engine.SangerSynapse

Deprecated. - Used only for backward compatibility

getLearner() - Method in class org.joone.engine.SigmoidLayer

Deprecated. - Used only for backward compatibility

getLearner() - Method in class org.joone.engine.Synapse

Returns the appropriate Learner object for this class depending on the Monitor.learningMode property value

getLearner() - Method in class org.joone.engine.TanhLayer

Deprecated. - Used only for backward compatibility

getLearners() - Method in class org.joone.engine.Monitor

Getter for property learners.

getLearningMode() - Method in class org.joone.engine.Monitor

Getter for property learningMode.

getLearningRate(int) - Method in class org.joone.engine.ExtendableLearner

Gets the learning rate.

getLearningRate(int, int) - Method in class org.joone.engine.ExtendableLearner

Gets the learning rate.

getLearningRate() - Method in interface org.joone.engine.LearnableSynapse

getLearningRate() - Method in class org.joone.engine.Monitor

Returns the learning rate

getLearningRate() - Method in class org.joone.engine.SimpleLayer

Returns the value of the learning rate of the Layer

getLearningRate() - Method in class org.joone.engine.Synapse

Returns the value of the learning rate

getLearningRateFinal() - Method in class org.joone.util.LinearAnnealing

Insert the method's description here.

getLearningRateInitial() - Method in class org.joone.util.LinearAnnealing

Insert the method's description here.

getLineno() - Method in class org.joone.io.ImageInputTokenizer

Return the current line number.

getLineno() - Method in class org.joone.io.MemoryInputTokenizer

Return the current line number.

getLineno() - Method in interface org.joone.io.PatternTokenizer

Return the current line number.

getLineno() - Method in class org.joone.io.StreamInputTokenizer

Return the current line number.

getLineno() - Method in class org.joone.io.XLSInputTokenizer

getListeners() - Method in class org.joone.net.NeuralNet

getLocalizedMessage() - Method in exception org.joone.exception.JooneRuntimeException

getLogger(Class) - Static method in class org.joone.log.LoggerFactory

Method to get the Logger to use to print out the log messages.

getLowerBit() - Method in class org.joone.engine.learning.FahlmanTeacherSynapse

Gets the lower bit value.

getLowerBit() - Method in class org.joone.util.ToBinaryPlugin

Gets the value used for the lower bit.

getLowerBitPercentage() - Method in class org.joone.engine.learning.FahlmanTeacherSynapse

Gets the lower bit percentage.

getLowerBound() - Method in class org.joone.engine.weights.FanInBasedWeightInitializer

Gets the lower bound.

getLowerBound() - Method in class org.joone.engine.weights.RandomWeightInitializer

Gets the lower bound.

getLrate() - Method in class org.joone.engine.SimpleLayer

Needed for Save As XML

getM_cols() - Method in class org.joone.engine.Matrix

Gets m_cols.

getM_rows() - Method in class org.joone.engine.Matrix

Gets m_rows.

getMacro(String) - Method in class org.joone.script.MacroManager

getMacroManager() - Method in interface org.joone.script.MacroInterface

Getter for property macroManager.

getMacroManager() - Method in class org.joone.util.GroovyMacroPlugin

Getter for property macroManager.

getMacroManager() - Method in class org.joone.util.MacroPlugin

Getter for property macroManager.

getMacroPlugin() - Method in class org.joone.net.NeuralNet

Getter for property macroPlugin.

getMacros() - Method in class org.joone.script.MacroManager

Getter for property macros.

getMapDepth() - Method in class org.joone.engine.SpatialMap

Gets the depth of this spatial map.

getMapHeight() - Method in class org.joone.engine.SpatialMap

Gets the height of this spatial map.

getMapWidth() - Method in class org.joone.engine.SpatialMap

Gets the width of this spatial map.

getMax() - Method in class org.joone.util.NormalizerPlugIn

Gets the max value Creation date: (23/10/2000 23.25.55)

getMaxBufSize() - Method in class org.joone.io.StreamInputSynapse

Getter for property maxBufSize.

getMaxDelta() - Method in class org.joone.engine.RpropParameters

Gets the maximum allowed delta value.

getMaxDistance(Vector, int[]) - Method in class org.joone.util.RbfRandomCenterSelector

Gets the maximum distance between centers.

getMean() - Method in class org.joone.engine.RbfGaussianParameters

Gets the mean (center) of the Gaussian RBF.

getMessage() - Method in exception org.joone.exception.JooneRuntimeException

getMessage() - Method in class org.joone.net.NetCheck

Getter for the error message

getMethodDescriptors() - Method in class org.joone.engine.DelayLayerBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.engine.GaussianLayerBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.engine.KohonenSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.engine.LayerBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.engine.learning.ComparingSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.engine.learning.TeacherSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.engine.learning.TeachingSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.engine.LinearLayerBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.engine.MatrixBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.engine.MemoryLayerBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.engine.MonitorBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.engine.OutputSwitchSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.engine.PatternBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.engine.SimpleLayerBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.engine.SynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.engine.TanhLayerBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.engine.WTALayerBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.io.FileInputSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.io.FileOutputSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.io.ImageInputSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.io.ImageOutputSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.io.InputConnectorBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.io.InputSwitchSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.io.JDBCInputSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.io.JDBCOutputSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.io.StreamInputSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.io.StreamOutputSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.io.URLInputSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.io.XLSInputSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.io.XLSOutputSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.io.YahooFinanceInputSynapseBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.net.NestedNeuralLayerBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.net.NeuralNetBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.util.CenterOnZeroPlugInBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.util.ConverterPlugInBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.util.DeltaNormPlugInBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.util.DynamicAnnealingBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.util.LearningSwitchBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.util.MinMaxExtractorPlugInBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.util.MonitorPluginBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.util.MovingAveragePlugInBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.util.NormalizerPlugInBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.util.OutputConverterPlugInBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.util.ShufflePluginBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.util.SnapshotRecorderBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.util.ToBinaryPluginBeanInfo

Gets the bean's MethodDescriptors.

getMethodDescriptors() - Method in class org.joone.util.UnNormalizerOutputPlugInBeanInfo

Gets the bean's MethodDescriptors.

getMin() - Method in class org.joone.util.NormalizerPlugIn

Gets the min value Creation date: (23/10/2000 23.25.32)

getMinChangePercentage() - Method in class org.joone.util.MinMaxExtractorPlugIn

Get the min percentage of change accepted to consider a point as a turning point (29/09/00 18.46.53)

getMinCorrelation(int, int) - Method in class org.joone.structure.Nakayama

Gets the minimum correlation for a certain neuron j.

getMinDelta() - Method in class org.joone.engine.RpropParameters

Gets the minimum allowed delta value.

getMomentum() - Method in interface org.joone.engine.LearnableSynapse

getMomentum() - Method in class org.joone.engine.Monitor

Returns the momentum

getMomentum() - Method in class org.joone.engine.SimpleLayer

Returns the value of the momentum of the Layer

getMomentum() - Method in class org.joone.engine.Synapse

Returns the value of the momentum

getMomentumFinal() - Method in class org.joone.util.LinearAnnealing

Insert the method's description here.

getMomentumInitial() - Method in class org.joone.util.LinearAnnealing

Insert the method's description here.

getMonitor() - Method in class org.joone.engine.AbstractLearner

Gets the monitor object.

getMonitor() - Method in class org.joone.engine.Layer

Returns the monitor object

getMonitor() - Method in interface org.joone.engine.Learnable

getMonitor() - Method in class org.joone.engine.learning.ComparingSynapse

Insert the method's description here.

getMonitor() - Method in class org.joone.engine.learning.TeachingSynapse

Insert the method's description here.

getMonitor() - Method in interface org.joone.engine.NeuralElement

Returns the monitor

getMonitor() - Method in interface org.joone.engine.NeuralLayer

Returns the monitor object

getMonitor() - Method in class org.joone.engine.OutputSwitchSynapse

Returns the monitor

getMonitor() - Method in class org.joone.engine.Synapse

Returns the Monitor object attached to the synapse

getMonitor() - Method in class org.joone.io.InputSwitchSynapse

Returns the monitor

getMonitor() - Method in class org.joone.net.NestedNeuralLayer

getMonitor() - Method in class org.joone.net.NeuralNet

getN() - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender

Gets the constant controlling the initial noise.

getName() - Method in class org.joone.engine.learning.ComparingSynapse

getName() - Method in class org.joone.engine.learning.TeachingSynapse

getName() - Method in interface org.joone.engine.NeuralElement

Returns the name of the output synapse

getName() - Method in class org.joone.engine.OutputSwitchSynapse

Returns the name of the output synapse

getName() - Method in class org.joone.engine.Synapse

Returns the name of the synapse

getName() - Method in class org.joone.io.InputSwitchSynapse

Returns the name of the input synapse

getName() - Method in class org.joone.script.JooneMacro

Getter for property name.

getName() - Method in class org.joone.util.AbstractConverterPlugIn

Gets the name of this plug-in object.

getName() - Method in class org.joone.util.MonitorPlugin

Getter for property name.

getNames() - Method in class org.joone.inspection.implementations.BiasInspection

getNames() - Method in class org.joone.inspection.implementations.InputsInspection

getNames() - Method in class org.joone.inspection.implementations.WeightsInspection

getNames() - Method in interface org.joone.inspection.Inspection

Method to get the names of each column

getNestedNeuralNet() - Method in class org.joone.net.NestedNeuralLayer

Getter for property NestedNeuralNet.

getNeuralNet() - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver

Gets the neural net that is being checked for convergence.

getNeuralNet() - Method in class org.joone.engine.NeuralNetEvent

Getter for the NeuralNet generating this event.

getNeuralNet() - Method in class org.joone.net.NestedNeuralLayer

getNeuralNet() - Method in class org.joone.net.NeuralNetLoader

getNeuralNet() - Method in class org.joone.net.NeuralNetValidator

Gets the network to validate (or has been validated).

getNeuralNet() - Method in class org.joone.util.MonitorPlugin

getNeuralNetName() - Method in class org.joone.net.NeuralNetAttributes

Getter for property neuralNetName.

getNextPattern() - Method in class org.joone.io.MemoryOutputSynapse

Waits for the next pattern and returns it

getNextPlugIn() - Method in class org.joone.util.AbstractConverterPlugIn

Gets the next converter plug-in within this cascading series of plug-ins.

getNnet() - Method in class org.joone.util.NeuralNetRunner

getNumberOfPatterns(StreamInputSynapse) - Method in class org.joone.io.MultipleInputSynapse

Gets (finds out) how many patters an input synpase holds.

getNumericVersion() - Static method in class org.joone.net.NeuralNet

Method to get the numeric version.

getNumOfPatterns() - Method in class org.joone.engine.Monitor

getNumOfstepCounters() - Method in class org.joone.net.NeuralNet

getNumTokens() - Method in class org.joone.io.ImageInputTokenizer

Gets the number of tokens on the current line.

getNumTokens() - Method in class org.joone.io.MemoryInputTokenizer

getNumTokens() - Method in interface org.joone.io.PatternTokenizer

getNumTokens() - Method in class org.joone.io.StreamInputTokenizer

getNumTokens() - Method in class org.joone.io.XLSInputTokenizer

getOrderedLayers() - Method in class org.joone.net.NeuralNet

getOrderingPhase() - Method in class org.joone.engine.GaussianLayer

Getter for property orderingPhase.

getOrderingPhase() - Method in class org.joone.engine.KohonenSynapse

Getter for property orderingPhase.

getOrderingPhase() - Method in class org.joone.engine.SpatialMap

Getter for property orderingPhase.

getOutArray() - Method in class org.joone.engine.Pattern

Getter for property outArray.

getOutDataMax() - Method in class org.joone.util.UnNormalizerOutputPlugIn

Gets the max output value

getOutDataMin() - Method in class org.joone.util.UnNormalizerOutputPlugIn

Gets the min output value

getOutputDimension() - Method in interface org.joone.engine.InputPatternListener

Returns the dimension of the input synapse

getOutputDimension() - Method in interface org.joone.engine.LearnableSynapse

getOutputDimension() - Method in class org.joone.engine.learning.ComparisonSynapse

Returns the output dimension of the synapse.

getOutputDimension() - Method in class org.joone.engine.Synapse

Returns the output dimension of the synapse.

getOutputDimension() - Method in class org.joone.io.InputSwitchSynapse

Returns the dimension of the input synapse

getOutputDirectory() - Method in class org.joone.io.ImageOutputSynapse

Gets the directory where Image files will be created.

getOutputLayer() - Method in class org.joone.net.NeuralNet

Returns the output layer of the network.

getOutputSynapse(String) - Method in class org.joone.engine.OutputSwitchSynapse

getParam(String) - Method in class org.joone.engine.Monitor

Gets a custom parameter from the Monitor.

getParam(String) - Method in class org.joone.net.NeuralNet

Gets a custom parameter from the neural net.

getParameters() - Method in class org.joone.engine.extenders.RpropExtender

Gets the parameters of this learning algorithm.

getParameters() - Method in class org.joone.engine.RpropLearner

getParent() - Method in class org.joone.engine.Monitor

Getter for property parent.

getPattern() - Method in class org.joone.util.OutputConverterPlugIn

Gets the pattern that will be converted.

getPercentage() - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver

Gets the percentage.

getPeriod() - Method in class org.joone.io.YahooFinanceInputSynapse

Gets the period for data retrieval.

getPlugIn() - Method in class org.joone.io.InputSwitchSynapse

getPlugIn() - Method in class org.joone.io.StreamInputSynapse

Gets the attached ConverterPlugin, if any

getPlugIn() - Method in class org.joone.io.StreamOutputSynapse

getPluginListeners() - Method in class org.joone.util.AbstractConverterPlugIn

Gets a vector of all the PlugInListeners that have been registerd to receive events from this plug-in.

getPreLearning() - Method in class org.joone.engine.Monitor

Returns the initial ignored input patterns (during the training phase)

getPropertyDescriptors() - Method in class org.joone.engine.DelayLayerBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.engine.GaussianLayerBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.engine.KohonenSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.engine.LayerBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.engine.learning.ComparingSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.engine.learning.TeacherSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.engine.learning.TeachingSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.engine.LinearLayerBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.engine.MatrixBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.engine.MemoryLayerBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.engine.MonitorBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.engine.OutputSwitchSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.engine.PatternBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.engine.SimpleLayerBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.engine.SynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.engine.TanhLayerBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.engine.WTALayerBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.io.FileInputSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.io.FileOutputSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.io.ImageInputSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.io.ImageOutputSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.io.InputConnectorBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.io.InputSwitchSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.io.JDBCInputSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.io.JDBCOutputSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.io.StreamInputSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.io.StreamOutputSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.io.URLInputSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.io.XLSInputSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.io.XLSOutputSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.io.YahooFinanceInputSynapseBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.net.NestedNeuralLayerBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.net.NeuralNetBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.util.CenterOnZeroPlugInBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.util.ConverterPlugInBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.util.DeltaNormPlugInBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.util.DynamicAnnealingBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.util.LearningSwitchBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.util.MinMaxExtractorPlugInBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.util.MonitorPluginBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.util.MovingAveragePlugInBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.util.NormalizerPlugInBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.util.OutputConverterPlugInBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.util.ShufflePluginBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.util.SnapshotRecorderBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.util.ToBinaryPluginBeanInfo

Gets the bean's PropertyDescriptors.

getPropertyDescriptors() - Method in class org.joone.util.UnNormalizerOutputPlugInBeanInfo

Gets the bean's PropertyDescriptors.

getRandom() - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender

Gets a random value between the random boundary.

getRandomBoundary() - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender

Gets the random number boundary.

getRate() - Method in class org.joone.util.MonitorPlugin

Getter for property rate.

getRevLock() - Method in class org.joone.engine.Synapse

Getter for property revLock.

getRows() - Method in class org.joone.engine.Layer

Returns the dimension (# of neurons) of the Layer

getRows() - Method in interface org.joone.engine.NeuralLayer

Returns the dimension (# of neurons) of the Layer

getRows() - Method in class org.joone.net.NestedNeuralLayer

getRows() - Method in class org.joone.net.NeuralNet

getRun() - Method in class org.joone.engine.Monitor

Needed for XML saving

getSeenPatterns() - Method in class org.joone.engine.learning.AbstractTeacherSynapse

Get the value of the number of patterns seen during the current epoch.

getSeparator() - Method in class org.joone.io.StreamOutputSynapse

Returns the column separator creation date: (23/04/00 0.50.18)

getSerieIndexNumber(int) - Method in class org.joone.util.AbstractConverterPlugIn

Gets the index of the current serie number.

getSerieSelected() - Method in class org.joone.util.AbstractConverterPlugIn

Getter for property serieSelected.

getSeverity() - Method in class org.joone.net.NetCheck

Getter for the error severity

getSheet(String) - Method in class org.joone.io.XLSInputSynapse

Gets the HSSF sheet from the XLS file using the specified sheet name.

getSheetName() - Method in class org.joone.io.XLSInputSynapse

Gets the name of the sheet within the XLS file to extract data from for input to the network.

getSheetName() - Method in class org.joone.io.XLSOutputSynapse

Gets the name of sheet within the XLS file that data should be written to.

getSingleThread() - Method in class org.joone.net.NeuralNet

getSize() - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver

Gets the size (delta bound for convergence).

getSource() - Method in class org.joone.net.NetCheck

Getter for the object that caused the error

getSpace_map() - Method in class org.joone.engine.GaussianLayer

Getter for property space_map.

getSQLAmendment() - Method in class org.joone.io.JDBCOutputSynapse

Gets the SQL Query used to select data from the database.

getSQLQuery() - Method in class org.joone.io.JDBCInputSynapse

Gets the SQL Query used to select data from the database.

getStartCol(int) - Method in class org.joone.io.XLSOutputSynapse

Gets the starting col (0 based) of the XLS sheet.

getStartDate() - Method in class org.joone.io.YahooFinanceInputSynapse

getStartRow(int) - Method in class org.joone.io.XLSOutputSynapse

Gets the starting row (0 based) of the XLS sheet.

getStdDeviation() - Method in class org.joone.engine.RbfGaussianParameters

Gets the standard deviation (sigma) of the Gaussian RBF.

getStep() - Method in class org.joone.engine.Monitor

Returns the actual elaborated pattern

getStep() - Method in class org.joone.util.DynamicAnnealing

Getter for property step.

getStockData() - Method in class org.joone.io.YahooFinanceInputSynapse

Gets the stock data retrieived by this synapse.

getStockDates() - Method in class org.joone.io.YahooFinanceInputSynapse

Gets the dates associated with each row of data.

getStoppedCycle() - Method in class org.joone.engine.listeners.ErrorBasedTerminator

Gets the cycle the network was stopped.

getStream() - Method in class org.joone.io.InputConnector

getStream() - Method in class org.joone.io.StreamInputSynapse

getSumAbsoluteWeights(Layer, int) - Method in class org.joone.structure.Nakayama

Sums up all the absolute values of the output weights of a neuron within a layer.

getSumOutputs(int, int) - Method in class org.joone.structure.Nakayama

Sums up the (normal and absolute) values of the outputs of a neuron over all patterns.

getSymbol() - Method in class org.joone.io.YahooFinanceInputSynapse

Gets the name of the symbol

getSynapse() - Method in class org.joone.engine.AbstractLearner

Gets the synapse the learner is associated with.

getTags() - Method in class org.joone.util.SnapshotFormatEditor

Get an array of legal string values.

getTaps() - Method in class org.joone.engine.DelaySynapse

Inserire qui la descrizione del metodo.

getTaps() - Method in class org.joone.engine.MemoryLayer

Return the taps value (06/04/00 1.08.26)

getTeacher() - Method in class org.joone.net.NeuralNet

getText() - Method in class org.joone.script.JooneMacro

Getter for property text.

getTheComparisonSynapse() - Method in class org.joone.engine.learning.ComparingSynapse

getTheLinearLayer() - Method in interface org.joone.engine.learning.ComparingElement

Returns the internal Layer used to transport the result to the connected output synapse

getTheLinearLayer() - Method in class org.joone.engine.learning.ComparingSynapse

getTheLinearLayer() - Method in class org.joone.engine.learning.TeachingSynapse

getTheTeacherSynapse() - Method in class org.joone.engine.learning.TeachingSynapse

getThreadMonitor() - Method in class org.joone.engine.Layer

Getter for property myThreadMonitor.

getTimeConstant() - Method in class org.joone.engine.ContextLayer

Getter for property timeConstant.

getTimeConstant() - Method in class org.joone.engine.GaussianLayer

Getter for property timeConstant.

getTimeConstant() - Method in class org.joone.engine.KohonenSynapse

Getter for property timeConstant.

getTimeConstant() - Method in class org.joone.engine.SpatialMap

Getter for property TimeConstant.

getTitle() - Method in class org.joone.inspection.implementations.BiasInspection

getTitle() - Method in class org.joone.inspection.implementations.InputsInspection

getTitle() - Method in class org.joone.inspection.implementations.WeightsInspection

getTitle() - Method in interface org.joone.inspection.Inspection

Method to get the title of the object for display in the InspectionFrame title bar.

getTokenAt(int) - Method in class org.joone.io.ImageInputTokenizer

Gets the token (RGB normalised between 0 and 1) at the specified position.

getTokenAt(int) - Method in class org.joone.io.MemoryInputTokenizer

Returns the value of the token at 'posiz' column of the current line Creation date: (17/10/2000 0.30.08)

getTokenAt(int) - Method in interface org.joone.io.PatternTokenizer

Returns the value of the token at 'posiz' column of the current line Creation date: (17/10/2000 0.30.08)

getTokenAt(int) - Method in class org.joone.io.StreamInputTokenizer

Insert the method's description here.

getTokenAt(int) - Method in class org.joone.io.XLSInputTokenizer

getTokens() - Method in class org.joone.io.StreamInputSynapse

Getter for property tokens.

getTokensArray() - Method in class org.joone.io.ImageInputTokenizer

Insert the method's description here.

getTokensArray() - Method in class org.joone.io.MemoryInputTokenizer

Returns an array of values of the current line Creation date: (17/10/2000 0.13.45)

getTokensArray() - Method in interface org.joone.io.PatternTokenizer

Returns an array of values of the current line Creation date: (17/10/2000 0.13.45)

getTokensArray() - Method in class org.joone.io.StreamInputTokenizer

Insert the method's description here.

getTokensArray() - Method in class org.joone.io.XLSInputTokenizer

getTotalEpochs() - Method in class org.joone.engine.SpatialMap

Gets the total number of epochs for the current session.

getTotCicles() - Method in class org.joone.engine.Monitor

Returns the total number of epochs

getTrainingError() - Method in class org.joone.net.NeuralNetAttributes

Getter for property trainingError.

getTrainingPatterns() - Method in class org.joone.engine.Monitor

Returns the number of the input training patterns

getTrainingSet() - Method in class org.joone.util.LearningSwitch

Getter for property trainingSet.

getUpdateWeightExtender() - Method in class org.joone.engine.ExtendableLearner

Gets the update weight extender.

getUpperBit() - Method in class org.joone.engine.learning.FahlmanTeacherSynapse

Gets the upper bit value.

getUpperBit() - Method in class org.joone.util.ToBinaryPlugin

Gets the value used for the upper bit.

getUpperBitPercentage() - Method in class org.joone.engine.learning.FahlmanTeacherSynapse

Gets the upper bit percentage.

getUpperBound() - Method in class org.joone.engine.weights.FanInBasedWeightInitializer

Gets the upper bound.

getUpperBound() - Method in class org.joone.engine.weights.RandomWeightInitializer

Gets the upper bound.

getURL() - Method in class org.joone.io.URLInputSynapse

Gets the URL used to extract input data from.

getValidationError() - Method in class org.joone.net.NeuralNetAttributes

Getter for property validationError.

getValidationPatterns() - Method in class org.joone.engine.Monitor

Returns the number of the input validation patterns

getValidationSet() - Method in class org.joone.util.LearningSwitch

Getter for property validationSet.

getValue() - Method in class org.joone.engine.Matrix

Gets value[][].

getValuePoint(int, int) - Method in class org.joone.util.AbstractConverterPlugIn

Gets the double value at the specified row (point) in the specifed serie / column.

getValues() - Method in class org.joone.engine.Pattern

Getter for property values.

getVersion() - Static method in class org.joone.net.NeuralNet

Method to get the version.

getWeightInitializer() - Method in class org.joone.engine.Matrix

Gets the weight initializer.

getWeights() - Method in interface org.joone.engine.LearnableSynapse

getWeights() - Method in class org.joone.engine.Synapse

Getter for the internal matrix of weights

getWidth() - Method in class org.joone.io.ImageOutputSynapse

Gets the desired width of the generated image files.

getWinnerX() - Method in class org.joone.engine.SpatialMap

Returns the X Co-ordinate of the current winning neuron.

getWinnerY() - Method in class org.joone.engine.SpatialMap

Returns the Y Co-ordinate of the current winning neuron.

getWinnerZ() - Method in class org.joone.engine.SpatialMap

Returns the Z Co-ordinate of the current winning neuron.

GIF - Variable in class org.joone.io.ImageOutputSynapse

GlobalError - Variable in class org.joone.engine.learning.TeacherSynapse

The error being calculated for the current epoch.

Go() - Method in class org.joone.engine.Monitor

Runs the neural net in multi-thread mode.

go(boolean, boolean) - Method in class org.joone.net.NeuralNet

Runs the network.

go(boolean) - Method in class org.joone.net.NeuralNet

Runs the network.

go() - Method in class org.joone.net.NeuralNet

Runs the network in async mode (i.e. equivalent to go(false) ).

gotoFirstLine() - Method in class org.joone.io.InputSwitchSynapse

gotoFirstLine() - Method in interface org.joone.io.InputSynapse

gotoFirstLine() - Method in class org.joone.io.StreamInputSynapse

gotoLine(int) - Method in class org.joone.io.InputSwitchSynapse

Point to the indicated line into the input stream

gotoLine(int) - Method in interface org.joone.io.InputSynapse

gotoLine(int) - Method in class org.joone.io.MultipleInputSynapse

gotoLine(int) - Method in class org.joone.io.StreamInputSynapse

Point to the indicated line into the input stream

GradientExtender - Class in org.joone.engine.extenders

This abstract class describes the methods needed for a gradient extender, that is, a class that computes / changes the gradient value according to some algorithm.

GradientExtender() - Constructor for class org.joone.engine.extenders.GradientExtender

Creates a new instance of DeltaExtender

gradientInps - Variable in class org.joone.engine.Layer

Set of input error gradient values passed to this layer from connected OutputListenrs during the learning phase.

gradientOuts - Variable in class org.joone.engine.Layer

Set of output error gradient values passed from this layer to connected InputListenrs during the learning phase.

GroovyMacroPlugin - Class in org.joone.util

GroovyMacroPlugin() - Constructor for class org.joone.util.GroovyMacroPlugin

H

hasErrors() - Method in class org.joone.net.NetChecker

Method to determine whether there are validation errors in the net.

hasStepCounter() - Method in class org.joone.engine.Layer

Determine whether this layer has an input synapse attached that is a step counter.

HIDDEN_LAYER - Static variable in class org.joone.net.NeuralNet

I

ILogger - Interface in org.joone.log

Interface that defines the public methods of the logger object.

ImageInputSynapse - Class in org.joone.io

This synapse collects data from Image files or Image objects and feeds the data from the Images into the Neural network.

ImageInputSynapse() - Constructor for class org.joone.io.ImageInputSynapse

Creates a new instance of ImageInputSynapse

ImageInputSynapseBeanInfo - Class in org.joone.io

ImageInputSynapseBeanInfo() - Constructor for class org.joone.io.ImageInputSynapseBeanInfo

ImageInputTokenizer - Class in org.joone.io

This tokenizer is responsible for collecting data from a list of Image file names or Image objects and feeding the data from the Images into a tokenized array of values for feeding into the Neural network.

ImageInputTokenizer(int, int, Vector, boolean) - Constructor for class org.joone.io.ImageInputTokenizer

Creates new ImageInputTokenizer

ImageInputTokenizer(int, int, Image[], boolean) - Constructor for class org.joone.io.ImageInputTokenizer

Creates new ImageInputTokenizer

ImageOutputSynapse - Class in org.joone.io

This class collects the output from the connected layer and places it into an image file.

ImageOutputSynapse() - Constructor for class org.joone.io.ImageOutputSynapse

Creates a new instance of ImageOutputSynapse

ImageOutputSynapseBeanInfo - Class in org.joone.io

ImageOutputSynapseBeanInfo() - Constructor for class org.joone.io.ImageOutputSynapseBeanInfo

incSeenPatterns() - Method in class org.joone.engine.learning.AbstractTeacherSynapse

Increases the number of seen patterns by one.

info(Object) - Method in interface org.joone.log.ILogger

info(Object, Throwable) - Method in interface org.joone.log.ILogger

info(Object) - Method in class org.joone.log.JooneLogger

info(Object, Throwable) - Method in class org.joone.log.JooneLogger

info(Object) - Method in class org.joone.log.Log4JLogger

info(Object, Throwable) - Method in class org.joone.log.Log4JLogger

init() - Method in class org.joone.engine.Layer

init() - Method in class org.joone.engine.learning.AbstractTeacherSynapse

init() - Method in class org.joone.engine.learning.ComparingSynapse

init() - Method in class org.joone.engine.learning.ComparisonSynapse

init() - Method in class org.joone.engine.learning.TeachingSynapse

init() - Method in interface org.joone.engine.NeuralElement

init() - Method in class org.joone.engine.OutputSwitchSynapse

init(int) - Method in class org.joone.engine.SpatialMap

Initialises this spatial map according to the total number of epochs/cycles.

init() - Method in class org.joone.engine.Synapse

Synapse's initialization.

init() - Method in class org.joone.io.InputSwitchSynapse

initialize() - Method in class org.joone.engine.Matrix

Initializes the weights or biases by making a call to the weight initializer.

initialize(Matrix) - Method in class org.joone.engine.weights.FanInBasedWeightInitializer

initialize(Matrix) - Method in class org.joone.engine.weights.RandomWeightInitializer

Initializes the weights or biases within the domain [lowerBound, upperBound].

initialize(Matrix) - Method in interface org.joone.engine.weights.WeightInitializer

Initializes weights (biases) represented by the matrix.

initiateNewBatch() - Method in class org.joone.engine.BatchLearner

Deprecated. not used, the BatchModeExtender takes care of everything

initiateNewBatch() - Method in class org.joone.engine.extenders.BatchModeExtender

Initiates a new batch (at the beginning or when the dimensions change).

initInputStream() - Method in class org.joone.io.FileInputSynapse

initInputStream() - Method in class org.joone.io.ImageInputSynapse

initInputStream() - Method in class org.joone.io.InputConnector

initInputStream() - Method in class org.joone.io.InputSwitchSynapse

initInputStream() - Method in class org.joone.io.JDBCInputSynapse

Connects to the database using Driver name and db URL and selects data using the SQLQuery.

initInputStream() - Method in class org.joone.io.MemoryInputSynapse

initInputStream() - Method in class org.joone.io.StreamInputSynapse

initInputStream() - Method in class org.joone.io.URLInputSynapse

Reads the data from the URL specified in this URLInputSynapse.

initInputStream() - Method in class org.joone.io.XLSInputSynapse

Reads data from the XLS file into this synapse.

initInputStream() - Method in class org.joone.io.YahooFinanceInputSynapse

Connects to Yahoo FInancial Services and obtains the historical data for the specifed symbol and data range.

initLearner() - Method in class org.joone.engine.Layer

Initialize the Learner object of this layer

initLearner() - Method in interface org.joone.engine.Learnable

initLearner() - Method in class org.joone.engine.Synapse

Initialize the Learner object

initMacro(Hashtable) - Method in class org.joone.script.MacroManager

initStream() - Method in class org.joone.io.JDBCOutputSynapse

Connects to the database using Driver name and db URL and selects data using the SQLAmendment.

initSwitch() - Method in class org.joone.io.InputSwitchSynapse

inps - Variable in class org.joone.engine.Layer

Set of input values passed to this layer from connected InputListeners during the recall phase.

inps - Variable in class org.joone.engine.Synapse

INPUT_LAYER - Static variable in class org.joone.net.NeuralNet

InputConnector - Class in org.joone.io

InputConnector() - Constructor for class org.joone.io.InputConnector

Creates a new instance of InputConnector

InputConnectorBeanInfo - Class in org.joone.io

InputConnectorBeanInfo() - Constructor for class org.joone.io.InputConnectorBeanInfo

InputPatternListener - Interface in org.joone.engine

This interface represents an input synapse for a generic layer.

inputPatternListeners - Variable in class org.joone.engine.Layer

Contains the list of input connected listeners (InputPatternListener)

InputPluginEvent - Class in org.joone.util

Deprecated. Use PlugInEvent

InputPluginEvent(AbstractConverterPlugIn) - Constructor for class org.joone.util.InputPluginEvent

Deprecated.

InputPluginListener - Interface in org.joone.util

Deprecated. Use PlugInListener

inputs - Variable in class org.joone.io.InputSwitchSynapse

InputsInspection - Class in org.joone.inspection.implementations

InputsInspection(Vector) - Constructor for class org.joone.inspection.implementations.InputsInspection

InputSwitchSynapse - Class in org.joone.io

This class acts as a switch that can connect its output to one of its connected input synapses.

InputSwitchSynapse() - Constructor for class org.joone.io.InputSwitchSynapse

The constructor

InputSwitchSynapseBeanInfo - Class in org.joone.io

InputSwitchSynapseBeanInfo() - Constructor for class org.joone.io.InputSwitchSynapseBeanInfo

InputSynapse - Interface in org.joone.io

InputVector - Variable in class org.joone.io.StreamInputSynapse

Inspectable - Interface in org.joone.inspection

InspectableTitle() - Method in class org.joone.engine.Layer

Get the title for the inspectable interface

InspectableTitle() - Method in class org.joone.engine.Synapse

InspectableTitle() - Method in interface org.joone.inspection.Inspectable

Method to get the title to show in the InspectionFrame tab.

InspectableTitle() - Method in class org.joone.io.StreamInputSynapse

Inspection - Interface in org.joone.inspection

Inspections() - Method in class org.joone.engine.ContextLayer

It doesn't make sense to return biases for this layer

Inspections() - Method in class org.joone.engine.DelayLayer

It doesn't make sense to return biases for this layer

Inspections() - Method in class org.joone.engine.GaussianLayer

It doesn't make sense to return biases for this layer

Inspections() - Method in class org.joone.engine.Layer

Method to get a collection of bias inspections for this layer

Inspections() - Method in class org.joone.engine.LinearLayer

It doesn't make sense to return biases for this layer

Inspections() - Method in class org.joone.engine.RbfGaussianLayer

It doesn't make sense to return biases for this layer

Inspections() - Method in class org.joone.engine.Synapse

Inspections() - Method in class org.joone.engine.WTALayer

It doesn't make sense to return biases for this layer

Inspections() - Method in interface org.joone.inspection.Inspectable

Method to get a collection of inspectable objects.

Inspections() - Method in class org.joone.io.StreamInputSynapse

isAppend() - Method in class org.joone.io.FileOutputSynapse

Getter for property append.

isApplyEveryCycle() - Method in class org.joone.util.ConverterPlugIn

Getter for property applyEachCycle.

isBuffered() - Method in class org.joone.io.InputSwitchSynapse

Returns if the input synapse is buffered (10/04/00 23.11.30)

isBuffered() - Method in interface org.joone.io.InputSynapse

isBuffered() - Method in class org.joone.io.StreamInputSynapse

Checks if the input synapse is buffered or not

isBuffered() - Method in class org.joone.io.StreamOutputSynapse

Checks the buffered status of this synapse.

isConnected() - Method in class org.joone.util.AbstractConverterPlugIn

Getter for property connected.

isConvergence(Matrix) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver

Checks if the weights or biases have converged, i.e. if the delta weight update value is below size.

isEnabled() - Method in class org.joone.engine.extenders.LearnerExtender

Checks if the learner extender is enabled.

isEnabled() - Method in class org.joone.engine.learning.ComparingSynapse

Getter for property enabled.

isEnabled() - Method in class org.joone.engine.learning.TeachingSynapse

Getter for property enabled.

isEnabled() - Method in interface org.joone.engine.NeuralElement

isEnabled() - Method in class org.joone.engine.OutputSwitchSynapse

Getter for property enabled.

isEnabled() - Method in class org.joone.engine.Synapse

Getter for property enabled.

isEOF() - Method in class org.joone.io.InputSwitchSynapse

Returns if reached the EOF (10/04/00 23.16.20)

isEOF() - Method in interface org.joone.io.InputSynapse

isEOF() - Method in class org.joone.io.StreamInputSynapse

Returns if reached the EOF (10/04/00 23.16.20)

isEventMacro() - Method in class org.joone.script.JooneMacro

Getter for property system.

isEventMacro(String) - Method in class org.joone.script.MacroManager

isExporting() - Method in class org.joone.engine.Monitor

Getter for property exporting.

isFatal() - Method in class org.joone.net.NetCheck

Method to see if this check is a FATAL.

isFirstTime() - Method in class org.joone.engine.learning.AbstractTeacherSynapse

Checks whether it is the first time data is passed to this teacher or not.

isInputFull() - Method in interface org.joone.engine.InputPatternListener

isInputFull() - Method in class org.joone.engine.Synapse

Getter for property inputFull.

isInputLayer() - Method in class org.joone.engine.Layer

Determine whether this is an input layer.

isLearning() - Method in class org.joone.engine.Monitor

Returns TRUE if the net is into a learning phase

isLearning() - Method in class org.joone.net.NestedNeuralLayer

Getter for property learning.

isLearningCicle(int) - Method in class org.joone.engine.Monitor

Returns the phase of the net (learning or not) for the current pattern

isLoopBack() - Method in class org.joone.engine.Synapse

Getter for property loopBack.

isOutputFull() - Method in class org.joone.engine.learning.ComparingSynapse

Getter for property outputFull.

isOutputFull() - Method in class org.joone.engine.learning.TeachingSynapse

Getter for property outputFull.

isOutputFull() - Method in interface org.joone.engine.OutputPatternListener

isOutputFull() - Method in class org.joone.engine.OutputSwitchSynapse

Getter for property outputFull.

isOutputFull() - Method in class org.joone.engine.Synapse

Getter for property outputFull.

isOutputLayer() - Method in class org.joone.engine.Layer

Determine whether this is an output layer.

isRunning() - Method in class org.joone.engine.Layer

Determine whether the execution thread is running

isRunning() - Method in interface org.joone.engine.NeuralLayer

Returns true if the layer is running

isRunning() - Method in class org.joone.net.NestedNeuralLayer

isRunning() - Method in class org.joone.net.NeuralNet

Returns true if the network is running

isScriptingEnabled() - Method in class org.joone.net.NeuralNet

Gets if the scripting engine is enabled

isSingleThreadMode() - Method in class org.joone.engine.Monitor

isSqrtFanIn() - Method in class org.joone.engine.weights.FanInBasedWeightInitializer

Checks if the mode of the fan-in is the square root mode, i.e. the square root of the fan-in is used or if the normal mode, i.e. the normal fan-in is used.

isStepCounter() - Method in class org.joone.io.InputSwitchSynapse

Returns if this input layer is an active counter of the steps.

isStepCounter() - Method in interface org.joone.io.InputSynapse

Returns true if this input layer is an active counter of the steps.

isStepCounter() - Method in class org.joone.io.StreamInputSynapse

Returns if this input layer is an active counter of the steps.

isStopRequestPerformed() - Method in class org.joone.engine.listeners.ErrorBasedTerminator

Checks if this object requested / stopped the neural network.

isSupervised() - Method in class org.joone.engine.Monitor

Getter for property supervised.

isTrainingDataForValidation() - Method in class org.joone.engine.Monitor

Getter for the property trainingDataForValidation, i.e. should the training data be used for validation.

isUseRMSE() - Method in class org.joone.engine.Monitor

Checks if we should use RMSE (true) or MSE false.

isValidation() - Method in class org.joone.engine.Monitor

Getter for property validation.

isWarning() - Method in class org.joone.net.NetCheck

Method to see if this check is a WARNING.

items - Variable in class org.joone.engine.Synapse

J

JDBCInputSynapse - Class in org.joone.io

The JDBCInputSynapse provides support for data extraction from a database.

JDBCInputSynapse() - Constructor for class org.joone.io.JDBCInputSynapse

Constructor for the JDBCInputSynapse object

JDBCInputSynapse(String, String, String, String, int, int, boolean) - Constructor for class org.joone.io.JDBCInputSynapse

Constructor for the JDBCInputSynapse object that allows all options.

JDBCInputSynapseBeanInfo - Class in org.joone.io

JDBCInputSynapseBeanInfo() - Constructor for class org.joone.io.JDBCInputSynapseBeanInfo

JDBCOutputSynapse - Class in org.joone.io

The JDBCOutputSynapse provides support for data input to a database.

JDBCOutputSynapse() - Constructor for class org.joone.io.JDBCOutputSynapse

Constructor for the JDBCOutputSynapse object

JDBCOutputSynapse(String, String, String, boolean) - Constructor for class org.joone.io.JDBCOutputSynapse

Constructor for the JDBCInputSynapse object that allows all options.

JDBCOutputSynapseBeanInfo - Class in org.joone.io

JDBCOutputSynapseBeanInfo() - Constructor for class org.joone.io.JDBCOutputSynapseBeanInfo

join() - Method in class org.joone.engine.Layer

Waits for the current layer's thread to stop

join() - Method in class org.joone.net.NeuralNet

Waits for all the termination of all running Threads

JOONE_FORMAT - Static variable in class org.joone.util.SnapshotRecorder

The Joone snapshot format (NeuralNet serialized objects graph)

JooneException - Exception in org.joone.exception

This is a wrapper class for the RuntimeException thrown by the application.

JooneException() - Constructor for exception org.joone.exception.JooneException

Constructor for JooneRunTimeException.

JooneException(String) - Constructor for exception org.joone.exception.JooneException

Constructor for JooneRunTimeException.

JooneGroovyScript - Class in org.joone.script

JooneGroovyScript() - Constructor for class org.joone.script.JooneGroovyScript

JooneLogger - Class in org.joone.log

Internal logger.

JooneLogger() - Constructor for class org.joone.log.JooneLogger

Creates a new instance of JooneLogger

JooneMacro - Class in org.joone.script

This class represents a runnable BeanShell macro

JooneMacro() - Constructor for class org.joone.script.JooneMacro

Creates a new instance of JooneMacro

JooneRuntimeException - Exception in org.joone.exception

This is a wrapper class for the Exception thrown by the application.

JooneRuntimeException(String) - Constructor for exception org.joone.exception.JooneRuntimeException

Constructor for JooneRuntimeException.

JooneRuntimeException(Throwable) - Constructor for exception org.joone.exception.JooneRuntimeException

Constructor for JooneRunTimeException.

JooneRuntimeException(String, Throwable) - Constructor for exception org.joone.exception.JooneRuntimeException

Constructor for JooneRunTimeException.

JooneScript - Class in org.joone.script

JooneScript() - Constructor for class org.joone.script.JooneScript

JPG - Variable in class org.joone.io.ImageOutputSynapse

K

KohonenSynapse - Class in org.joone.engine

This is an unsupervised Kohonen Synapse which is a Self Organising Map.

KohonenSynapse() - Constructor for class org.joone.engine.KohonenSynapse

The default constructor for the KohonenSynapse class.

KohonenSynapseBeanInfo - Class in org.joone.engine

KohonenSynapseBeanInfo() - Constructor for class org.joone.engine.KohonenSynapseBeanInfo

L

Layer - Class in org.joone.engine

The Layer object is the basic element forming the neural net.

Layer() - Constructor for class org.joone.engine.Layer

The empty constructor

Layer(String) - Constructor for class org.joone.engine.Layer

Creates a named layer

LayerBeanInfo - Class in org.joone.engine

LayerBeanInfo() - Constructor for class org.joone.engine.LayerBeanInfo

learnable - Variable in class org.joone.engine.AbstractLearner

The learnable, the object that is subjected to the learning process.

learnable - Variable in class org.joone.engine.Layer

Contains true if for the Layer must be used a Learner instead of a built-in learning algorithm.

Learnable - Interface in org.joone.engine

learnable - Variable in class org.joone.engine.Synapse

Contains true if for the current Synapse must be used a Learner instead of a built-in learning algorithm.

learnableLayer - Variable in class org.joone.engine.AbstractLearner

The layer (biases) that is subjected to the learning process.

LearnableLayer - Interface in org.joone.engine

learnableSynapse - Variable in class org.joone.engine.AbstractLearner

The synapse (weights) that is subjected to the learning process.

LearnableSynapse - Interface in org.joone.engine

Learner - Interface in org.joone.engine

LearnerExtender - Class in org.joone.engine.extenders

This abstract class describes the methods that any learner extender must provide.

LearnerExtender() - Constructor for class org.joone.engine.extenders.LearnerExtender

LearnerFactory - Interface in org.joone.engine

Learner factories are used to provide the synapses and layers, through the monitor object with Leaners.

learning - Variable in class org.joone.engine.Layer

The Net's phase: false == recall; true == learning

learningMode - Variable in class org.joone.engine.Monitor

LearningSwitch - Class in org.joone.util

This class is useful to switch the input data set of a neural network from a training set to a validation set depending on the 'validation' parameter contained in the Monitor object.

LearningSwitch() - Constructor for class org.joone.util.LearningSwitch

Creates a new instance of LearningSwitch

LearningSwitchBeanInfo - Class in org.joone.util

LearningSwitchBeanInfo() - Constructor for class org.joone.util.LearningSwitchBeanInfo

LinearAnnealing - Class in org.joone.util

This plugin changes linearly the values of the learning rate and of the momentum parameters.

LinearAnnealing() - Constructor for class org.joone.util.LinearAnnealing

LinearLayer - Class in org.joone.engine

The output of a linear layer neuron is the sum of the weighted input values, scaled by the beta parameter.

LinearLayer() - Constructor for class org.joone.engine.LinearLayer

The constructor

LinearLayer(String) - Constructor for class org.joone.engine.LinearLayer

The constructor

LinearLayerBeanInfo - Class in org.joone.engine

LinearLayerBeanInfo() - Constructor for class org.joone.engine.LinearLayerBeanInfo

listeners - Variable in class org.joone.net.NeuralNet

log - Static variable in class org.joone.engine.learning.AbstractTeacherSynapse

Logger

log - Static variable in class org.joone.engine.learning.FahlmanTeacherSynapse

Logger

log - Static variable in class org.joone.engine.learning.TeacherSynapse

Logger

Log4JLogger - Class in org.joone.log

Logger that uses Apache's Log4J to log the messages.

Log4JLogger() - Constructor for class org.joone.log.Log4JLogger

Creates a new instance of Log4JLogger

LogarithmicLayer - Class in org.joone.engine

This layer implements a logarithmic transfer function.

LogarithmicLayer() - Constructor for class org.joone.engine.LogarithmicLayer

Creates a new instance of LogarithmicLayer

LogarithmicLayer(String) - Constructor for class org.joone.engine.LogarithmicLayer

LogarithmicPlugIn - Class in org.joone.util

logarithmic transfer (base e) input data Creation date: (22/03/2004 23.06.00)

LogarithmicPlugIn() - Constructor for class org.joone.util.LogarithmicPlugIn

LogarithmicPlugIn constructor

LoggerFactory - Class in org.joone.log

Class used to decouple the engine's logging requests from the libraries that expose the logging service.

LoggerFactory() - Constructor for class org.joone.log.LoggerFactory

lrate - Variable in class org.joone.engine.FIRFilter

M

m_batch - Variable in class org.joone.engine.Layer

Not used but maintained for backward serialization compatability.

m_batch - Variable in class org.joone.engine.Synapse

m_cols - Variable in class org.joone.engine.Matrix

The number of columns.

m_pattern - Variable in class org.joone.engine.Synapse

m_rows - Variable in class org.joone.engine.Matrix

The number of rows.

m_taps - Variable in class org.joone.engine.FIRFilter

MacroInterface - Interface in org.joone.script

MacroManager - Class in org.joone.script

This class is a manager of the macros of a Neural Network

MacroManager() - Constructor for class org.joone.script.MacroManager

Creates a new instance of MacroManager

MacroPlugin - Class in org.joone.util

MacroPlugin() - Constructor for class org.joone.util.MacroPlugin

main(String[]) - Static method in class org.joone.script.JooneGroovyScript

main(String[]) - Static method in class org.joone.script.JooneScript

main(String[]) - Static method in class org.joone.util.CSVParser

Test

main(String[]) - Static method in class org.joone.util.NeuralNetRunner

manageCycle(Monitor) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver

manageCycle(Monitor) - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver

manageCycle(Monitor) - Method in class org.joone.engine.listeners.ErrorBasedTerminator

manageCycle(Monitor) - Method in class org.joone.util.DynamicAnnealing

manageCycle(Monitor) - Method in class org.joone.util.GroovyMacroPlugin

manageCycle(Monitor) - Method in class org.joone.util.LinearAnnealing

manageCycle(Monitor) - Method in class org.joone.util.MacroPlugin

manageCycle(Monitor) - Method in class org.joone.util.MonitorPlugin

manageCycle(Monitor) - Method in class org.joone.util.SnapshotPlugin

Process one cycle of activity: calls the doSnapshot method to allow for specific snapshot generation by subclasses.

manageError(Monitor) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver

manageError(Monitor) - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver

manageError(Monitor) - Method in class org.joone.engine.listeners.ErrorBasedTerminator

manageError(Monitor) - Method in class org.joone.util.DynamicAnnealing

manageError(Monitor) - Method in class org.joone.util.GroovyMacroPlugin

manageError(Monitor) - Method in class org.joone.util.LinearAnnealing

manageError(Monitor) - Method in class org.joone.util.MacroPlugin

manageError(Monitor) - Method in class org.joone.util.MonitorPlugin

manageError(Monitor) - Method in class org.joone.util.SnapshotPlugin

Global error is stored along with the monitor, so this method does nothing.

manageStart(Monitor) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver

manageStart(Monitor) - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver

manageStart(Monitor) - Method in class org.joone.engine.listeners.ErrorBasedTerminator

manageStart(Monitor) - Method in class org.joone.util.DynamicAnnealing

manageStart(Monitor) - Method in class org.joone.util.GroovyMacroPlugin

manageStart(Monitor) - Method in class org.joone.util.LinearAnnealing

manageStart(Monitor) - Method in class org.joone.util.MacroPlugin

manageStart(Monitor) - Method in class org.joone.util.MonitorPlugin

manageStart(Monitor) - Method in class org.joone.util.SnapshotPlugin

Start a new activity session: calls the doStart method to inform subclasses, then generates a snapshot of the initial state of the network.

manageStop(Monitor) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver

manageStop(Monitor) - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver

manageStop(Monitor) - Method in class org.joone.engine.listeners.ErrorBasedTerminator

manageStop(Monitor) - Method in class org.joone.util.DynamicAnnealing

manageStop(Monitor) - Method in class org.joone.util.GroovyMacroPlugin

manageStop(Monitor) - Method in class org.joone.util.LinearAnnealing

manageStop(Monitor) - Method in class org.joone.util.MacroPlugin

manageStop(Monitor) - Method in class org.joone.util.MonitorPlugin

manageStop(Monitor) - Method in class org.joone.util.SnapshotPlugin

Stop an activity session: take a snapshot of the final state of the network, then calls the doStop method to inform subclasses

manageStopError(Monitor, String) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver

manageStopError(Monitor, String) - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver

manageStopError(Monitor, String) - Method in class org.joone.engine.listeners.ErrorBasedTerminator

manageStopError(Monitor, String) - Method in class org.joone.util.DynamicAnnealing

manageStopError(Monitor, String) - Method in class org.joone.util.GroovyMacroPlugin

manageStopError(Monitor, String) - Method in class org.joone.util.LinearAnnealing

manageStopError(Monitor, String) - Method in class org.joone.util.MacroPlugin

manageStopError(Monitor, String) - Method in class org.joone.util.MonitorPlugin

manageStopError(Monitor, String) - Method in class org.joone.util.SnapshotRecorder

mark() - Method in class org.joone.io.ImageInputTokenizer

Mark the current position.

mark() - Method in class org.joone.io.MemoryInputTokenizer

marks the current position.

mark() - Method in interface org.joone.io.PatternTokenizer

marks the current position.

mark() - Method in class org.joone.io.StreamInputTokenizer

mark the current position.

mark() - Method in class org.joone.io.XLSInputTokenizer

Matrix - Class in org.joone.engine

The Matrix object represents the connection matrix of the weights of a synapse or the biases of a layer.

Matrix() - Constructor for class org.joone.engine.Matrix

Default constructor Needed for Save as XML

Matrix(int, int) - Constructor for class org.joone.engine.Matrix

This constructur creates a weights or biases according to the values aRows and aColumns.

Matrix(int, int, double) - Constructor for class org.joone.engine.Matrix

This constructur creates a weights or biases according to the values aRows and aColumns.

MatrixBeanInfo - Class in org.joone.engine

MatrixBeanInfo() - Constructor for class org.joone.engine.MatrixBeanInfo

memory - Variable in class org.joone.engine.FIRFilter

memory - Variable in class org.joone.engine.MemoryLayer

MemoryInputSynapse - Class in org.joone.io

MemoryInputSynapse() - Constructor for class org.joone.io.MemoryInputSynapse

Creates a new instance of MemoryInputSynapse

MemoryInputTokenizer - Class in org.joone.io

MemoryInputTokenizer() - Constructor for class org.joone.io.MemoryInputTokenizer

Creates a new instance of MemoryInputTokenizer

MemoryInputTokenizer(double[][]) - Constructor for class org.joone.io.MemoryInputTokenizer

MemoryLayer - Class in org.joone.engine

MemoryLayer() - Constructor for class org.joone.engine.MemoryLayer

MemoryLayer(String) - Constructor for class org.joone.engine.MemoryLayer

MemoryLayerBeanInfo - Class in org.joone.engine

MemoryLayerBeanInfo() - Constructor for class org.joone.engine.MemoryLayerBeanInfo

MemoryOutputSynapse - Class in org.joone.io

MemoryOutputSynapse() - Constructor for class org.joone.io.MemoryOutputSynapse

Creates a new instance of MemoryOutputSynapse

MinMaxExtractorPlugIn - Class in org.joone.util

Extracts from the time series the inversion points, setting its range from MIN_VALUE to MAX_VALUE.

MinMaxExtractorPlugIn() - Constructor for class org.joone.util.MinMaxExtractorPlugIn

constructor MinMaxExtractorSynapse.

MinMaxExtractorPlugIn.PointValue - Class in org.joone.util

MinMaxExtractorPlugIn.PointValue() - Constructor for class org.joone.util.MinMaxExtractorPlugIn.PointValue

MinMaxExtractorPlugIn.PointValue(MinMaxExtractorPlugIn.PointValue) - Constructor for class org.joone.util.MinMaxExtractorPlugIn.PointValue

MinMaxExtractorPlugIn.PointValue(int, double) - Constructor for class org.joone.util.MinMaxExtractorPlugIn.PointValue

MinMaxExtractorPlugInBeanInfo - Class in org.joone.util

MinMaxExtractorPlugInBeanInfo() - Constructor for class org.joone.util.MinMaxExtractorPlugInBeanInfo

momentum - Variable in class org.joone.engine.FIRFilter

MomentumExtender - Class in org.joone.engine.extenders

This extender implements the momentum term.

MomentumExtender() - Constructor for class org.joone.engine.extenders.MomentumExtender

Creates a new instance of MomentumExtender

monitor - Variable in class org.joone.engine.AbstractEventNotifier

monitor - Variable in class org.joone.engine.AbstractLearner

The saved monitor object.

monitor - Variable in class org.joone.engine.Layer

The monitor of the layer.

Monitor - Class in org.joone.engine

The Monitor object is the controller of the behavior of the neural net.

Monitor() - Constructor for class org.joone.engine.Monitor

This is the default Constructor.

MonitorBeanInfo - Class in org.joone.engine

MonitorBeanInfo() - Constructor for class org.joone.engine.MonitorBeanInfo

MonitorPlugin - Class in org.joone.util

This class represents a generic listener of the net's events.

MonitorPlugin() - Constructor for class org.joone.util.MonitorPlugin

MonitorPluginBeanInfo - Class in org.joone.util

MonitorPluginBeanInfo() - Constructor for class org.joone.util.MonitorPluginBeanInfo

months - Variable in class org.joone.io.YahooFinanceInputSynapse

MovingAveragePlugIn - Class in org.joone.util

Changes the specified input serie data so that it becomes a moving average of itself.

MovingAveragePlugIn() - Constructor for class org.joone.util.MovingAveragePlugIn

Default MovingAveragePlugIn constructor.

MovingAveragePlugIn(String, String) - Constructor for class org.joone.util.MovingAveragePlugIn

MovingAveragePlugIn constructor that allows specification of the Advanced Serie Selector and the Moving Average Specification.

MovingAveragePlugInBeanInfo - Class in org.joone.util

MovingAveragePlugInBeanInfo() - Constructor for class org.joone.util.MovingAveragePlugInBeanInfo

MultipleInputSynapse - Class in org.joone.io

This class reads sequentially all the connected input synapses, in order to be able to use multiple sources as inputs.

MultipleInputSynapse() - Constructor for class org.joone.io.MultipleInputSynapse

Creates a new instance of MultipleInputSynapse

myLearner - Variable in class org.joone.engine.Layer

The Learner for this layer.

myLearner - Variable in class org.joone.engine.Synapse

N

Nakayama - Class in org.joone.structure

This class performs the method of optimizing activation functions as described in: K.Nakayama and Y.Kimura, "Optimization of activation functions in multilayer neural network applied to pattern classification", Proc.

Nakayama(NeuralNet) - Constructor for class org.joone.structure.Nakayama

Creates a new instance of Nakayama.

nakayama - Variable in class org.joone.structure.PatternForwardedSynapse

The nakayama object that needs to be informed.

NestedNeuralLayer - Class in org.joone.net

NestedNeuralLayer() - Constructor for class org.joone.net.NestedNeuralLayer

NestedNeuralLayer(String) - Constructor for class org.joone.net.NestedNeuralLayer

NestedNeuralLayerBeanInfo - Class in org.joone.net

NestedNeuralLayerBeanInfo() - Constructor for class org.joone.net.NestedNeuralLayerBeanInfo

NetCheck - Class in org.joone.net

Class to represent a network validation check error.

NetCheck(int, String, Object) - Constructor for class org.joone.net.NetCheck

Constructor.

NetChecker - Class in org.joone.net

NetChecker(NeuralNet) - Constructor for class org.joone.net.NetChecker

Constructor.

netConverged(ConvergenceEvent, ConvergenceObserver) - Method in interface org.joone.engine.listeners.ConvergenceListener

This method is called whenever the network has converged according to some ConvergenceObserver

netConverged(ConvergenceEvent, ConvergenceObserver) - Method in class org.joone.structure.Nakayama

NetErrorManager - Class in org.joone.engine

This class should be used when ever a critical error occurs that would impact on the training or running of the network.

NetErrorManager(Monitor, String) - Constructor for class org.joone.engine.NetErrorManager

Constructor that stops and resets the neural network.

netStarted(NeuralNetEvent) - Method in class org.joone.engine.GaussianLayer

Initialises the time constant used to decrease the size of the spatial map.

netStarted(NeuralNetEvent) - Method in class org.joone.engine.KohonenSynapse

Initialises any shape sizes such as circular radius and time constant before possible training.

netStarted(NeuralNetEvent) - Method in class org.joone.engine.NeuralNetAdapter

netStarted(NeuralNetEvent) - Method in interface org.joone.engine.NeuralNetListener

netStarted(NeuralNetEvent) - Method in class org.joone.net.NeuralNet

Not implemented.

netStarted(NeuralNetEvent) - Method in class org.joone.net.NeuralNetValidator

netStarted(NeuralNetEvent) - Method in class org.joone.structure.Nakayama

netStarted(NeuralNetEvent) - Method in class org.joone.util.MonitorPlugin

netStarted(NeuralNetEvent) - Method in class org.joone.util.NeuralNetRunner

netStopped(NeuralNetEvent) - Method in class org.joone.engine.GaussianLayer

netStopped(NeuralNetEvent) - Method in class org.joone.engine.KohonenSynapse

Not implemented.

netStopped(NeuralNetEvent) - Method in class org.joone.engine.NeuralNetAdapter

netStopped(NeuralNetEvent) - Method in interface org.joone.engine.NeuralNetListener

netStopped(NeuralNetEvent) - Method in class org.joone.net.NeuralNet

Not implemented.

netStopped(NeuralNetEvent) - Method in class org.joone.net.NeuralNetValidator

netStopped(NeuralNetEvent) - Method in class org.joone.structure.Nakayama

netStopped(NeuralNetEvent) - Method in class org.joone.util.MonitorPlugin

netStopped method comment.

netStopped(NeuralNetEvent) - Method in class org.joone.util.NeuralNetRunner

netStoppedError(NeuralNetEvent, String) - Method in class org.joone.engine.GaussianLayer

netStoppedError(NeuralNetEvent, String) - Method in class org.joone.engine.KohonenSynapse

Not implemented.

netStoppedError() - Method in class org.joone.engine.learning.AbstractTeacherSynapse

netStoppedError(NeuralNetEvent, String) - Method in class org.joone.engine.learning.ComparisonSynapse

netStoppedError(NeuralNetEvent, String) - Method in class org.joone.engine.NeuralNetAdapter

netStoppedError(NeuralNetEvent, String) - Method in interface org.joone.engine.NeuralNetListener

netStoppedError(NeuralNetEvent, String) - Method in class org.joone.net.NeuralNet

Stops the execution threads and resets all the layers in the event of an crtitical network error.

netStoppedError(NeuralNetEvent, String) - Method in class org.joone.net.NeuralNetValidator

netStoppedError(NeuralNetEvent, String) - Method in class org.joone.structure.Nakayama

netStoppedError(NeuralNetEvent, String) - Method in class org.joone.util.MonitorPlugin

netStoppedError(NeuralNetEvent, String) - Method in class org.joone.util.NeuralNetRunner

NetStoppedEventNotifier - Class in org.joone.engine

Raises the netStopped event from within a separate Thread

NetStoppedEventNotifier(Monitor) - Constructor for class org.joone.engine.NetStoppedEventNotifier

Creates a new instance of netStoppedEventNotifier

netValidated(NeuralValidationEvent) - Method in interface org.joone.net.NeuralValidationListener

netValidated(NeuralValidationEvent) - Method in class org.joone.structure.Nakayama

NeuralElement - Interface in org.joone.engine

This interface represents a generic element of a neural network

NeuralLayer - Interface in org.joone.engine

This is the interface for all the layer objects of the neural network

NeuralNet - Class in org.joone.net

This object represents a container of a neural network, giving to the developer the possibility to manage a neural network as a whole.

NeuralNet() - Constructor for class org.joone.net.NeuralNet

Creates new NeuralNet

NeuralNetAdapter - Class in org.joone.engine

NeuralNetAdapter() - Constructor for class org.joone.engine.NeuralNetAdapter

NeuralNetAttributes - Class in org.joone.net

This class represents a descriptor of a neural network.

NeuralNetAttributes() - Constructor for class org.joone.net.NeuralNetAttributes

Creates a new instance of NeuralNetDescriptor

NeuralNetBeanInfo - Class in org.joone.net

NeuralNetBeanInfo() - Constructor for class org.joone.net.NeuralNetBeanInfo

NeuralNetEvent - Class in org.joone.engine

Transport class used to notify the events raised from a neural network

NeuralNetEvent(Monitor) - Constructor for class org.joone.engine.NeuralNetEvent

The event constructor

NeuralNetListener - Interface in org.joone.engine

NeuralNetLoader - Class in org.joone.net

NeuralNetLoader(String) - Constructor for class org.joone.net.NeuralNetLoader

Creates a new instance of NeuralNetLoader

NeuralNetRunner - Class in org.joone.util

NeuralNetRunner() - Constructor for class org.joone.util.NeuralNetRunner

NeuralNetValidator - Class in org.joone.net

This class is useful to validate a neural network.

NeuralNetValidator(NeuralNet) - Constructor for class org.joone.net.NeuralNetValidator

NeuralValidationEvent - Class in org.joone.net

NeuralValidationEvent(NeuralNet) - Constructor for class org.joone.net.NeuralValidationEvent

Creates a new instance of NeuralValidationEvent

NeuralValidationListener - Interface in org.joone.net

newCycle() - Method in class org.joone.util.ConverterPlugIn

This method is called at the start of a new cycle, and permit to apply the conversion for the components having the applyEveryCycle property set to true.

nextLine() - Method in class org.joone.io.ImageInputTokenizer

Fetchs the next line and extracts all the tokens

nextLine() - Method in class org.joone.io.MemoryInputTokenizer

Go to the next line

nextLine() - Method in interface org.joone.io.PatternTokenizer

Go to the next line

nextLine() - Method in class org.joone.io.StreamInputTokenizer

Fetchs the next line and extracts all the tokens

nextLine() - Method in class org.joone.io.XLSInputTokenizer

nextPlugIn - Variable in class org.joone.io.StreamOutputSynapse

nextStep() - Method in class org.joone.engine.Monitor

Returns if the next pattern must be elaborated

nnet - Variable in class org.joone.net.NeuralNetLoader

nnet - Variable in class org.joone.util.NeuralNetRunner

NormalizerPlugIn - Class in org.joone.util

Normalizes the input data within a predefined range Creation date: (23/10/2000 23.23.25)

NormalizerPlugIn() - Constructor for class org.joone.util.NormalizerPlugIn

NormalizerPlugIn constructor

NormalizerPlugInBeanInfo - Class in org.joone.util

NormalizerPlugInBeanInfo() - Constructor for class org.joone.util.NormalizerPlugInBeanInfo

notFirstTime - Variable in class org.joone.engine.Synapse

notFirstTimeB - Variable in class org.joone.engine.Synapse

NotSerialize - Interface in org.joone.util

This interface is implemented by all the input/output Synapses that must not be serialized when the NeuralNet is exported.

numColumns() - Method in class org.joone.io.InputSwitchSynapse

numColumns() - Method in class org.joone.io.StreamInputSynapse

O

OnlineModeExtender - Class in org.joone.engine.extenders

This is the default weight updater (online).

OnlineModeExtender() - Constructor for class org.joone.engine.extenders.OnlineModeExtender

Creates a new instance of OnlineExtender

optimize() - Method in class org.joone.structure.Nakayama

Optimizes the activation functions of the neural network.

org.joone.engine - package org.joone.engine

org.joone.engine.extenders - package org.joone.engine.extenders

org.joone.engine.learning - package org.joone.engine.learning

org.joone.engine.listeners - package org.joone.engine.listeners

org.joone.engine.weights - package org.joone.engine.weights

org.joone.exception - package org.joone.exception

org.joone.inspection - package org.joone.inspection

org.joone.inspection.implementations - package org.joone.inspection.implementations

org.joone.io - package org.joone.io

org.joone.log - package org.joone.log

org.joone.net - package org.joone.net

org.joone.script - package org.joone.script

org.joone.structure - package org.joone.structure

org.joone.util - package org.joone.util

OUTPUT_LAYER - Static variable in class org.joone.net.NeuralNet

OutputConverterPlugIn - Class in org.joone.util

Abstract class that must be extended to implement plugins for output data preprocessing.

OutputConverterPlugIn() - Constructor for class org.joone.util.OutputConverterPlugIn

Constructor of CoverterPlugIn.

OutputConverterPlugIn(String) - Constructor for class org.joone.util.OutputConverterPlugIn

Constructor of CoverterPlugIn.

OutputConverterPlugInBeanInfo - Class in org.joone.util

OutputConverterPlugInBeanInfo() - Constructor for class org.joone.util.OutputConverterPlugInBeanInfo

OutputPatternListener - Interface in org.joone.engine

This interface represents an output synapse for a generic layer.

outputPatternListeners - Variable in class org.joone.engine.Layer

Contains the list of output connected listeners (OutputPatternListener)

OutputPluginEvent - Class in org.joone.util

Deprecated. Use PlugInEvent

OutputPluginEvent(AbstractConverterPlugIn) - Constructor for class org.joone.util.OutputPluginEvent

Deprecated.

OutputPluginListener - Interface in org.joone.util

Deprecated. Use PlugInListener

outputs - Variable in class org.joone.engine.OutputSwitchSynapse

OutputSwitchSynapse - Class in org.joone.engine

This class acts as a switch that can connect its input to one of its connected output synapses.

OutputSwitchSynapse() - Constructor for class org.joone.engine.OutputSwitchSynapse

The constructor

OutputSwitchSynapseBeanInfo - Class in org.joone.engine

OutputSwitchSynapseBeanInfo() - Constructor for class org.joone.engine.OutputSwitchSynapseBeanInfo

outs - Variable in class org.joone.engine.FIRFilter

outs - Variable in class org.joone.engine.Layer

Set of output values passed from this layer to connected OutputListeners durng the recall phase.

outs - Variable in class org.joone.engine.Synapse

P

parseDouble() - Method in class org.joone.util.CSVParser

Parse the string and returns an array containing all the values encountered.

parseInt() - Method in class org.joone.util.CSVParser

Parse the string and returns an array containing all the values encountered.

Pattern - Class in org.joone.engine

The pattern object contains the data that must be processed from a neural net.

Pattern() - Constructor for class org.joone.engine.Pattern

Default Constructor Added for Save As XML

Pattern(double[]) - Constructor for class org.joone.engine.Pattern

PatternBeanInfo - Class in org.joone.engine

PatternBeanInfo() - Constructor for class org.joone.engine.PatternBeanInfo

patternFinished() - Method in class org.joone.structure.Nakayama

This method is called after every pattern, so we can retrieve information from the network that is related to the pattern that was just forwarded through the network.

PatternForwardedSynapse - Class in org.joone.structure

This class/synapse is only used to inform a Nakayama object whenever a single patterns has been forwarded through the network.

PatternForwardedSynapse(Nakayama) - Constructor for class org.joone.structure.PatternForwardedSynapse

Constructor

PatternTokenizer - Interface in org.joone.io

Interface to extract tokens from an input stream

pClass - Variable in class org.joone.log.JooneLogger

peek() - Method in class org.joone.engine.Fifo

Looks at the object at the top of this stack without removing it from the stack.

Period - Variable in class org.joone.io.YahooFinanceInputSynapse

PlugInEvent - Class in org.joone.util

This event is sent by plug-ins indicating that data is changed.

PlugInEvent(Object) - Constructor for class org.joone.util.PlugInEvent

Creates a new instance of PlugInEvent

PlugInListener - Interface in org.joone.util

This interface defines the methods needed to be implemented by listeners that listens to plug-ins that might send data changed / plug-in events

plugInListeners - Variable in class org.joone.io.StreamInputSynapse

List of plug-in listeners (often input connectors).

pluginListeners - Variable in class org.joone.util.AbstractConverterPlugIn

A vector of objects that are listening to this object for plug-in (data changed) events.

PNG - Variable in class org.joone.io.ImageOutputSynapse

point - Variable in class org.joone.util.MinMaxExtractorPlugIn.PointValue

pop() - Method in class org.joone.engine.Fifo

Removes the object at the top of this stack and returns that object as the value of this function.

postBiasUpdate(double[]) - Method in class org.joone.engine.ExtendableLearner

Gives learners and extenders a change to do some post-computing after the biases are updated.

postBiasUpdate(double[]) - Method in class org.joone.engine.extenders.BatchModeExtender

postBiasUpdate(double[]) - Method in class org.joone.engine.extenders.LearnerExtender

Gives extenders a change to do some post-computing after the biases are updated.

postBiasUpdate(double[]) - Method in class org.joone.engine.extenders.MomentumExtender

postBiasUpdate(double[]) - Method in class org.joone.engine.extenders.OnlineModeExtender

postBiasUpdate(double[]) - Method in class org.joone.engine.extenders.RpropExtender

postBiasUpdate(double[]) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender

postBiasUpdate(double[]) - Method in class org.joone.engine.extenders.WeightDecayExtender

postBiasUpdateImpl(double[]) - Method in class org.joone.engine.ExtendableLearner

Gives learners a change to do some post-computing after the biases are updated.

postWeightUpdate(double[], double[]) - Method in class org.joone.engine.ExtendableLearner

Gives learners and extenders a change to do some post-computing after the weights are updated.

postWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.BatchModeExtender

postWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.LearnerExtender

Gives extenders a change to do some post-computing after the weights are updated.

postWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.MomentumExtender

postWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.OnlineModeExtender

postWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.RpropExtender

postWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender

postWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.WeightDecayExtender

postWeightUpdateImpl(double[], double[]) - Method in class org.joone.engine.ExtendableLearner

Gives learners a change to do some post-computing after the weights are updated.

preBiasUpdate(double[]) - Method in class org.joone.engine.ExtendableLearner

Gives learners and extenders a change to do some pre-computing before the biases are updated.

preBiasUpdate(double[]) - Method in class org.joone.engine.extenders.BatchModeExtender

preBiasUpdate(double[]) - Method in class org.joone.engine.extenders.LearnerExtender

Gives extenders a change to do some pre-computing before the biases are updated.

preBiasUpdate(double[]) - Method in class org.joone.engine.extenders.MomentumExtender

preBiasUpdate(double[]) - Method in class org.joone.engine.extenders.OnlineModeExtender

preBiasUpdate(double[]) - Method in class org.joone.engine.extenders.RpropExtender

preBiasUpdate(double[]) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender

preBiasUpdate(double[]) - Method in class org.joone.engine.extenders.WeightDecayExtender

preBiasUpdateImpl(double[]) - Method in class org.joone.engine.ExtendableLearner

Gives learners a change to do some pre-computing before the biases are updated.

preWeightUpdate(double[], double[]) - Method in class org.joone.engine.ExtendableLearner

Gives learners and extenders a change to do some pre-computing before the weights are updated.

preWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.BatchModeExtender

preWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.LearnerExtender

Gives extenders a change to do some pre-computing before the weights are updated.

preWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.MomentumExtender

preWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.OnlineModeExtender

preWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.RpropExtender

preWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender

preWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.WeightDecayExtender

preWeightUpdateImpl(double[], double[]) - Method in class org.joone.engine.ExtendableLearner

Gives learners a change to do some pre-computing before the weights are updated.

printer - Variable in class org.joone.io.FileOutputSynapse

push(Object) - Method in class org.joone.engine.Fifo

Pushes an item onto the top of this stack.

pushError(double, int) - Method in class org.joone.engine.learning.AbstractTeacherSynapse

Pushes the calculated array in the FIFO queue at the end of a epoch, that is after all patterns have been seen.

R

randomize(double) - Method in class org.joone.engine.Layer

Initialize the weights of the biases and of all the connected synapses

randomize(double) - Method in class org.joone.engine.Synapse

Initializes all the weigths of the synapses with random values

randomize(double) - Method in class org.joone.net.NestedNeuralLayer

randomize(double) - Method in class org.joone.net.NeuralNet

RandomWeightInitializer - Class in org.joone.engine.weights

This class initializes weights (and biases) in a random way within a given domain.

RandomWeightInitializer(double) - Constructor for class org.joone.engine.weights.RandomWeightInitializer

Creates a new instance of RandomWeightInitializer

RandomWeightInitializer(double, double) - Constructor for class org.joone.engine.weights.RandomWeightInitializer

Creates a new instance of RandomWeightInitializer and set the domain to initialize the weights with to [aLowerBound, anUpperBound].

RbfGaussianLayer - Class in org.joone.engine

This class implements the nonlinear layer in Radial Basis Function (RBF) networks using Gaussian functions.

RbfGaussianLayer() - Constructor for class org.joone.engine.RbfGaussianLayer

Creates a new instance of RbfGaussianLayer

RbfGaussianParameters - Class in org.joone.engine

This class defines the parameters, like center, sigma, etc. for the Gaussian RBF.

RbfGaussianParameters() - Constructor for class org.joone.engine.RbfGaussianParameters

Creates a new instance of RbfGaussianParameters

RbfGaussianParameters(double[], double) - Constructor for class org.joone.engine.RbfGaussianParameters

Creates a new instance of RbfGaussianParameters.

RbfInputSynapse - Class in org.joone.engine

The synapse to the input of a radial basis function layer should't provide a single value to every neuron in the output (RBF) layer, as is usual the case.

RbfInputSynapse() - Constructor for class org.joone.engine.RbfInputSynapse

Creates a new instance of RbfInputSynapse

RbfLayer - Class in org.joone.engine

This is the basis (helper) for radial basis function layers.

RbfLayer() - Constructor for class org.joone.engine.RbfLayer

Creates a new instance of RbfLayer

RbfLayer(String) - Constructor for class org.joone.engine.RbfLayer

Creates a new instance of RbfLayer

RbfRandomCenterSelector - Class in org.joone.util

This plug in is used to select fixed centers for Gaussian RBF layers randomly from the input data.

RbfRandomCenterSelector(RbfGaussianLayer) - Constructor for class org.joone.util.RbfRandomCenterSelector

Creates a new instance of RbfRandomCenterSelector

readAll() - Method in class org.joone.io.InputSwitchSynapse

readAll() - Method in interface org.joone.io.InputSynapse

readAll() - Method in class org.joone.io.StreamInputSynapse

readObjectBase(ObjectInputStream) - Method in class org.joone.io.StreamInputSynapse

readResolve() - Method in class org.joone.engine.learning.AbstractTeacherSynapse

readResolve() - Method in class org.joone.engine.Monitor

readResolve() - Method in class org.joone.engine.Synapse

registerLearnable(Learnable) - Method in class org.joone.engine.AbstractLearner

Learnable makes itself known to the Learner, also the type of Learnable is checked.

registerLearnable(Learnable) - Method in interface org.joone.engine.Learner

The Learnable calls this method to make itself known to the Learner

reinit() - Method in class org.joone.engine.extenders.RpropExtender

(Re)Initializes this RPROP learner.

reinit() - Method in class org.joone.engine.RpropLearner

Deprecated. used for backward compatibility

removeAllInputs() - Method in class org.joone.engine.Layer

Remove all the input listeners of the layer

removeAllInputs() - Method in interface org.joone.engine.NeuralLayer

Remove all the input listeners of the net

removeAllInputs() - Method in class org.joone.io.InputSwitchSynapse

removeAllInputs() - Method in class org.joone.net.NestedNeuralLayer

removeAllInputs() - Method in class org.joone.net.NeuralNet

removeAllListeners() - Method in class org.joone.engine.Monitor

Removes all the NeuralNetListeners.

removeAllListeners() - Method in class org.joone.net.NeuralNet

removeAllListeners() - Method in class org.joone.structure.Nakayama

Removes all the listeners from the neural network (temporarely).

removeAllOutputs() - Method in class org.joone.engine.Layer

Remove all the output listeners of the layer

removeAllOutputs() - Method in interface org.joone.engine.NeuralLayer

Remove all the output listeners of the net

removeAllOutputs() - Method in class org.joone.net.NestedNeuralLayer

removeAllOutputs() - Method in class org.joone.net.NeuralNet

removeAllPlugIns() - Method in class org.joone.io.StreamInputSynapse

Removes (and disconnects) all (cascading) plug-ins.

removeAllPlugIns() - Method in class org.joone.io.StreamOutputSynapse

Removes (and disconnects) all (cascading) plug-ins.

removeAllPlugIns() - Method in class org.joone.util.AbstractConverterPlugIn

Removes (and disconnects) all (cascading) plug ins.

removeColumn(int) - Method in class org.joone.engine.Matrix

Removes a column.

removeConvergenceListener(ConvergenceListener) - Method in class org.joone.engine.listeners.ConvergenceObserver

Removes a convergence listener.

removeInputSynapse(InputPatternListener) - Method in class org.joone.engine.Layer

Remove an input Listener

removeInputSynapse(InputPatternListener) - Method in interface org.joone.engine.NeuralLayer

Remove an input Listener

removeInputSynapse(String) - Method in class org.joone.io.InputSwitchSynapse

Removes an input synapse from the switch

removeInputSynapse(InputPatternListener) - Method in class org.joone.net.NestedNeuralLayer

removeInputSynapse(InputPatternListener) - Method in class org.joone.net.NeuralNet

removeLayer(Layer) - Method in class org.joone.net.NeuralNet

removeListener(NeuralNetListener) - Method in class org.joone.engine.Layer

removeMacro(String) - Method in class org.joone.script.MacroManager

Removes a macro.

removeNeuralNetListener(NeuralNetListener) - Method in class org.joone.engine.Monitor

Removes a listener

removeNeuralNetListener(NeuralNetListener) - Method in class org.joone.net.NeuralNet

removeNeuron(int, int) - Method in class org.joone.structure.Nakayama

Removes a neuron.

removeOutputPluginListener(OutputPluginListener) - Method in class org.joone.util.OutputConverterPlugIn

Deprecated. Use AbstractConverterPlugIn.removePlugInListener(PlugInListener)

removeOutputSynapse(OutputPatternListener) - Method in class org.joone.engine.Layer

Remove an output listener from the layer

removeOutputSynapse(OutputPatternListener) - Method in interface org.joone.engine.NeuralLayer

Remove an output listener from the layer

removeOutputSynapse(String) - Method in class org.joone.engine.OutputSwitchSynapse

Removes an output synapse from the switch

removeOutputSynapse(OutputPatternListener) - Method in class org.joone.net.NestedNeuralLayer

removeOutputSynapse(OutputPatternListener) - Method in class org.joone.net.NeuralNet

removePlugInListener(PlugInListener) - Method in class org.joone.io.StreamInputSynapse

Removes a plug-in listener from this input stream.

removePlugInListener(PlugInListener) - Method in class org.joone.util.AbstractConverterPlugIn

Removes a PlugInListener that was previously registered to receive plugin (data changed) events.

removeResultSynapse(OutputPatternListener) - Method in interface org.joone.engine.learning.ComparingElement

Removes an output synapse

removeResultSynapse(OutputPatternListener) - Method in class org.joone.engine.learning.ComparingSynapse

removeResultSynapse(OutputPatternListener) - Method in class org.joone.engine.learning.TeachingSynapse

removeRow(int) - Method in class org.joone.engine.Matrix

Removes a row.

removeTrainingSet() - Method in class org.joone.util.LearningSwitch

removeValidationSet() - Method in class org.joone.util.LearningSwitch

renameMacro(String, String) - Method in class org.joone.script.MacroManager

Renames a macro.

requestBiasUpdate(double[]) - Method in class org.joone.engine.ExtendableLearner

requestBiasUpdate(double[]) - Method in interface org.joone.engine.Learner

Override this method to implement what should be done to LearnableLayers

requestWeightUpdate(double[], double[]) - Method in class org.joone.engine.ExtendableLearner

requestWeightUpdate(double[], double[]) - Method in interface org.joone.engine.Learner

Override this method to implement what should be done to LearnableSynapses

reset() - Method in interface org.joone.engine.InputPatternListener

reset of the input synapse

reset() - Method in class org.joone.engine.learning.AbstractTeacherSynapse

Reset the input and desired synapses

reset() - Method in class org.joone.engine.learning.ComparisonSynapse

reset of the input synapse

reset() - Method in class org.joone.engine.OutputSwitchSynapse

Resets the switch, connecting the default synapse to the output

reset() - Method in class org.joone.engine.Synapse

Resets the internal state to be ready for the next run

reset() - Method in class org.joone.io.InputSwitchSynapse

reset() - Method in class org.joone.io.MultipleInputSynapse

reset() - Method in class org.joone.io.StreamInputSynapse

reset the state of the input synapse

resetCycle() - Method in class org.joone.engine.Monitor

resetDelta(Matrix) - Method in class org.joone.engine.extenders.BatchModeExtender

Resets delta values to zero.

resetInput() - Method in class org.joone.engine.learning.AbstractTeacherSynapse

resetInput() - Method in interface org.joone.engine.learning.ComparingElement

Resets the internal buffer of the desired StreamInputSynapse

resetInput() - Method in class org.joone.engine.learning.ComparingSynapse

resetInput() - Method in class org.joone.engine.learning.ComparisonSynapse

resetInput() - Method in class org.joone.engine.learning.TeachingSynapse

resetInput() - Method in class org.joone.io.ImageInputTokenizer

Go to the last marked position.

resetInput() - Method in class org.joone.io.InputConnector

resetInput() - Method in class org.joone.io.InputSwitchSynapse

resetInput() - Method in interface org.joone.io.InputSynapse

resetInput() - Method in class org.joone.io.MemoryInputTokenizer

Go to the last marked position.

resetInput() - Method in interface org.joone.io.PatternTokenizer

Go to the last marked position.

resetInput() - Method in class org.joone.io.StreamInputSynapse

Reset the input stream to read its content again

resetInput() - Method in class org.joone.io.StreamInputTokenizer

Go to the last marked position.

resetInput() - Method in class org.joone.io.XLSInputTokenizer

resetInput() - Method in class org.joone.net.NeuralNet

Resets all the StreamInputLayer of the net

resetInputListeners() - Method in class org.joone.engine.Layer

Reset all the input listeners

resetNnet() - Method in class org.joone.util.NeuralNetRunner

resetOutput() - Method in class org.joone.engine.OutputSwitchSynapse

resetSwitch() - Method in class org.joone.io.InputSwitchSynapse

Resets the switch, connecting the default synapse to the output

restore() - Method in class org.joone.net.NeuralNet

Continue the execution of the network after the stop() method is called.

restoreAllListeners() - Method in class org.joone.structure.Nakayama

Restore all the listeners to the neural network.

result - Variable in class org.joone.util.NeuralNetRunner

revGet() - Method in class org.joone.engine.BufferedSynapse

Not used

revGet() - Method in class org.joone.engine.DirectSynapse

revGet() - Method in class org.joone.engine.learning.AbstractTeacherSynapse

revGet() - Method in class org.joone.engine.learning.ComparingSynapse

revGet() - Method in class org.joone.engine.learning.ComparisonSynapse

revGet() - Method in class org.joone.engine.learning.TeachingSynapse

revGet() - Method in interface org.joone.engine.OutputPatternListener

Returns the error pattern coming from the next layer during the training phase

revGet() - Method in class org.joone.engine.OutputSwitchSynapse

Returns the error pattern coming from the next layer during the training phase

revGet() - Method in class org.joone.engine.Synapse

revGet() - Method in class org.joone.io.StreamOutputSynapse

revLock - Variable in class org.joone.engine.Synapse

revPut(Pattern) - Method in class org.joone.engine.BufferedSynapse

Not used

revPut(Pattern) - Method in class org.joone.engine.DirectSynapse

revPut(Pattern) - Method in interface org.joone.engine.InputPatternListener

Method to put an error pattern backward to the previous layer

revPut(Pattern) - Method in class org.joone.engine.learning.AbstractTeacherSynapse

revPut(Pattern) - Method in class org.joone.engine.learning.ComparisonSynapse

revPut(Pattern) - Method in class org.joone.engine.Synapse

revPut(Pattern) - Method in class org.joone.io.InputSwitchSynapse

Method to put an error pattern backward to the previous layer

revPut(Pattern) - Method in class org.joone.io.StreamInputSynapse

revRun(Pattern) - Method in class org.joone.engine.Layer

This method serves to a single backward step when the Layer is called from an external thread

revRun(Pattern) - Method in class org.joone.net.NestedNeuralLayer

rowNumbers() - Method in class org.joone.inspection.implementations.BiasInspection

rowNumbers() - Method in class org.joone.inspection.implementations.InputsInspection

rowNumbers() - Method in class org.joone.inspection.implementations.WeightsInspection

rowNumbers() - Method in interface org.joone.inspection.Inspection

Method to get the necessity to display a column containing the row's numbers for these inspection values.

RpropExtender - Class in org.joone.engine.extenders

This class changes the delta value in such a way that it implements the RPROP algorithm.

RpropExtender() - Constructor for class org.joone.engine.extenders.RpropExtender

Creates a new instance of RpropExtender

RpropLearner - Class in org.joone.engine

This class implements the RPROP learning algorithm.

RpropLearner() - Constructor for class org.joone.engine.RpropLearner

Creates a new instance of RpropLearner

RpropLearner(RpropParameters) - Constructor for class org.joone.engine.RpropLearner

Creates a new instance of RpropLearner.

RpropParameters - Class in org.joone.engine

This object holds the global parameters for the RPROP learning algorithm (RpropLearner).

RpropParameters() - Constructor for class org.joone.engine.RpropParameters

Creates a new instance of RpropParameters

run() - Method in class org.joone.engine.AbstractEventNotifier

The inherited classes must to override this method invoking into it the desired monitor.fireXXX method

run() - Method in class org.joone.engine.Layer

The core running engine of the layer.

run() - Method in class org.joone.engine.NetStoppedEventNotifier

Raises the netStopped event

run() - Method in class org.joone.net.NeuralNetValidator

runAgain() - Method in class org.joone.engine.Monitor

Let continue the net.

runMacro(String) - Method in interface org.joone.script.MacroInterface

Run a generic macro contained in a text

runMacro(String) - Method in class org.joone.util.GroovyMacroPlugin

Run a generic macro contained in a text

runMacro(String) - Method in class org.joone.util.MacroPlugin

Run a generic macro contained in a text

running - Variable in class org.joone.engine.Layer

Whether the layer is running

runValidation() - Method in class org.joone.structure.Nakayama

Runs the network with a validator, this way we are able to collect information related to the different patterns.

S

SangerSynapse - Class in org.joone.engine

This is the synapse useful to extract the principal components from an input data set.

SangerSynapse() - Constructor for class org.joone.engine.SangerSynapse

Creates a new instance of SangerSynapse

search(Object) - Method in class org.joone.engine.Fifo

Returns where an object is on this stack.

selectNeurons() - Method in class org.joone.structure.Nakayama

Selects neurons to be deleted based on the information calculated by evaluateNeurons().

serialVersionUID - Static variable in class org.joone.io.ImageInputSynapse

serialVersionUID - Static variable in class org.joone.io.ImageOutputSynapse

serialVersionUID - Static variable in class org.joone.io.MemoryInputSynapse

serialVersionUID - Static variable in class org.joone.io.MemoryOutputSynapse

serialVersionUID - Static variable in class org.joone.io.XLSOutputSynapse

The serial version ID for this object.

serialVersionUID - Static variable in class org.joone.io.YahooFinanceInputSynapse

serialVersionUID - Static variable in class org.joone.net.NestedNeuralLayer

serialVersionUID - Static variable in class org.joone.script.JooneMacro

serialVersionUID - Static variable in class org.joone.script.MacroManager

serialVersionUID - Static variable in class org.joone.util.GroovyMacroPlugin

serialVersionUID - Static variable in class org.joone.util.MacroPlugin

serialVersionUID - Static variable in class org.joone.util.MovingAveragePlugIn

serialVersionUID - Static variable in class org.joone.util.ShufflePlugin

serialVersionUID - Static variable in class org.joone.util.UnNormalizerOutputPlugIn

set(String, Object) - Method in class org.joone.script.JooneGroovyScript

set(String, Object) - Method in class org.joone.script.JooneScript

set(String, Object) - Method in interface org.joone.script.MacroInterface

Exports an internal variable in the script's namespace

set(String, Object) - Method in class org.joone.util.GroovyMacroPlugin

set(String, Object) - Method in class org.joone.util.MacroPlugin

setActiveInput(String) - Method in class org.joone.io.InputSwitchSynapse

Sets the input synapse connected to the output

setActiveOutput(String) - Method in class org.joone.engine.OutputSwitchSynapse

Sets the output synapse connected to the input

setActiveSynapse(OutputPatternListener) - Method in class org.joone.engine.OutputSwitchSynapse

Setter for property activeSynapse.

setActiveSynapse(StreamInputSynapse) - Method in class org.joone.io.InputSwitchSynapse

Setter for property activeSynapse.

setAdvancedColumnSelector(String) - Method in class org.joone.io.StreamInputSynapse

setAdvancedMovAvgSpec(String) - Method in class org.joone.util.MovingAveragePlugIn

Sets the Moving Average value/s requested by the user.

setAdvancedSerieSelector(String) - Method in class org.joone.util.AbstractConverterPlugIn

Sets the AdvancedSerieSelector for this plugin.

setAllInputs(Vector) - Method in class org.joone.engine.Layer

Sets the Vector that contains all the input listeners.

setAllInputs(Vector) - Method in interface org.joone.engine.NeuralLayer

Sets the vector that contains all the input listeners.

setAllInputs(Vector) - Method in class org.joone.io.InputSwitchSynapse

setAllInputs(Vector) - Method in class org.joone.net.NestedNeuralLayer

setAllInputs(Vector) - Method in class org.joone.net.NeuralNet

setAllOutputs(Vector) - Method in class org.joone.engine.Layer

Sets the Vector that contains all the output listeners.

setAllOutputs(Vector) - Method in interface org.joone.engine.NeuralLayer

Sets the vector that contains all the output listeners.

setAllOutputs(Vector) - Method in class org.joone.net.NestedNeuralLayer

setAllOutputs(Vector) - Method in class org.joone.net.NeuralNet

setAppend(boolean) - Method in class org.joone.io.FileOutputSynapse

Setter for property append.

setApplyEveryCycle(boolean) - Method in class org.joone.util.ConverterPlugIn

Setter for property applyEachCycle.

setArray(double[]) - Method in class org.joone.engine.Pattern

setArrays(int, int) - Method in class org.joone.engine.BufferedSynapse

setArrays method comment.

setArrays(int, int) - Method in class org.joone.engine.DelaySynapse

setArrays method comment.

setArrays(int, int) - Method in class org.joone.engine.DirectSynapse

setArrays method comment.

setArrays(int, int) - Method in class org.joone.engine.FullSynapse

setArrays method comment.

setArrays(int, int) - Method in class org.joone.engine.learning.AbstractTeacherSynapse

setArrays(int, int) - Method in class org.joone.engine.learning.ComparingSynapse

Insert the method's description here.

setArrays(int, int) - Method in class org.joone.engine.learning.ComparisonSynapse

setArrays method comment.

setArrays(int, int) - Method in class org.joone.engine.learning.TeachingSynapse

Insert the method's description here.

setArrays(int, int) - Method in class org.joone.engine.RbfInputSynapse

setArrays(int, int) - Method in class org.joone.engine.Synapse

Insert the method's description here.

setArrays(int, int) - Method in class org.joone.io.StreamInputSynapse

setArrays method.

setArrays(int, int) - Method in class org.joone.io.StreamOutputSynapse

setArrays method comment.

setArrays(int, int) - Method in class org.joone.structure.PatternForwardedSynapse

setBatchSize(int) - Method in class org.joone.engine.BatchLearner

Deprecated. use monitor.setBatchSize()

setBatchSize(int) - Method in class org.joone.engine.extenders.BatchModeExtender

Deprecated. use monitor.setBatchSize()

setBatchSize(int) - Method in class org.joone.engine.Monitor

Setter for the property BatchSize

setBatchSize(int) - Method in class org.joone.engine.RpropParameters

Sets the batchsize.

setBeta(double) - Method in class org.joone.engine.ContextLayer

Setter for property beta.

setBeta(double) - Method in class org.joone.engine.LinearLayer

Sets the beta value

setBias(Matrix) - Method in class org.joone.engine.Layer

Sets the matrix of biases

setBias(Matrix) - Method in interface org.joone.engine.NeuralLayer

Sets the matrix of biases

setBias(Matrix) - Method in class org.joone.net.NestedNeuralLayer

setBias(Matrix) - Method in class org.joone.net.NeuralNet

setBuffered(boolean) - Method in class org.joone.io.InputSwitchSynapse

setBuffered(boolean) - Method in interface org.joone.io.InputSynapse

setBuffered(boolean) - Method in class org.joone.io.MultipleInputSynapse

setBuffered(boolean) - Method in class org.joone.io.StreamInputSynapse

Sets the buffer-mode for this input synapse.

setBuffered(boolean) - Method in class org.joone.io.StreamOutputSynapse

Sets the buffered status of this synapse.

setColList() - Method in class org.joone.io.StreamInputSynapse

Sets the list of columns that must be returned as the pattern Creation date: (18/10/2000 0.45.52)

setColourMode(boolean) - Method in class org.joone.io.ImageInputSynapse

setColourMode(boolean) - Method in class org.joone.io.ImageOutputSynapse

Sets the colour mode of this synapse.

setComponent(Object[][]) - Method in class org.joone.inspection.implementations.BiasInspection

setComponent(Object[][]) - Method in class org.joone.inspection.implementations.InputsInspection

setComponent(Object[][]) - Method in class org.joone.inspection.implementations.WeightsInspection

setComponent(Object[][]) - Method in interface org.joone.inspection.Inspection

Sets the array of values for this component

setConnDimensions() - Method in class org.joone.engine.Layer

Sets the input and output synapses' dimensions

setConnected(boolean) - Method in class org.joone.util.AbstractConverterPlugIn

Setter for property connected.

setCount(int) - Method in class org.joone.engine.Pattern

setCurrentCicle(int) - Method in class org.joone.engine.Monitor

Not used

setCurrentGaussianSize(double) - Method in class org.joone.engine.SpatialMap

Sets the current guassian size of the spatial neighborhood.

setCurrentRow(int) - Method in class org.joone.io.InputConnector

Sets the current row.

setCycles(int) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver

Sets the number of cycles.

setCycles(int) - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver

Sets the number of cycles.

setDataMax(double) - Method in class org.joone.util.NormalizerPlugIn

Sets the max value of the input data.

setDataMin(double) - Method in class org.joone.util.NormalizerPlugIn

Sets the min value of the input data Note : The DataMin and DataMax values should be set to 99999 and -99999 respectively if the user requires that this plugin uses the min , max values found in the serie.

setDateEnd(String) - Method in class org.joone.io.YahooFinanceInputSynapse

Gets the the data to which data is retrieved.

setDateStart(String) - Method in class org.joone.io.YahooFinanceInputSynapse

Deprecated. Use setStartDate instead

setdbURL(String) - Method in class org.joone.io.JDBCInputSynapse

Gets the name of the database Universal Resource Location (URL)

setdbURL(String) - Method in class org.joone.io.JDBCOutputSynapse

Gets the name of the database Universal Resource Location (URL)

setDecay(double) - Method in class org.joone.engine.extenders.WeightDecayExtender

Sets the decay parameter.

setDecimalPoint(char) - Method in class org.joone.io.ImageInputTokenizer

setDecimalPoint(char) - Method in class org.joone.io.InputSwitchSynapse

setDecimalPoint(char) - Method in interface org.joone.io.InputSynapse

setDecimalPoint(char) - Method in class org.joone.io.MemoryInputTokenizer

setDecimalPoint(char) - Method in interface org.joone.io.PatternTokenizer

setDecimalPoint(char) - Method in class org.joone.io.StreamInputSynapse

setDecimalPoint(char) - Method in class org.joone.io.StreamInputTokenizer

setDecimalPoint(char) - Method in class org.joone.io.XLSInputTokenizer

setDefaultInput(String) - Method in class org.joone.io.InputSwitchSynapse

Sets the name of the default input synapse that is connected when the reset method is called

setDefaultOutput(String) - Method in class org.joone.engine.OutputSwitchSynapse

Sets the name of the default output synapse that is connected when the reset method is called

setDefaultSynapse(OutputPatternListener) - Method in class org.joone.engine.OutputSwitchSynapse

Setter for property defaultSynapse.

setDefaultSynapse(StreamInputSynapse) - Method in class org.joone.io.InputSwitchSynapse

Setter for property defaultSynapse.

setDelta(double[][]) - Method in class org.joone.engine.Matrix

Sets delta[][].

setDescriptor(NeuralNetAttributes) - Method in class org.joone.net.NeuralNet

setDesired(StreamInputSynapse) - Method in class org.joone.engine.learning.AbstractTeacherSynapse

Set the input data stream containing desired training data.

setDesired(StreamInputSynapse) - Method in interface org.joone.engine.learning.ComparingElement

Setter for the desired data set

setDesired(StreamInputSynapse) - Method in class org.joone.engine.learning.ComparingSynapse

setDesired(StreamInputSynapse) - Method in class org.joone.engine.learning.ComparisonSynapse

Set the input data stream containing desired training data

setDesired(StreamInputSynapse) - Method in class org.joone.engine.learning.TeachingSynapse

setDesiredHeight(int) - Method in class org.joone.io.ImageInputSynapse

setDesiredWidth(int) - Method in class org.joone.io.ImageInputSynapse

setDimensions(int, int) - Method in class org.joone.engine.BufferedSynapse

setDimensions method comment.

setDimensions(int, int) - Method in class org.joone.engine.DelaySynapse

setDimensions(int, int) - Method in class org.joone.engine.DirectSynapse

setDimensions(int, int) - Method in class org.joone.engine.FullSynapse

setDimensions() - Method in class org.joone.engine.Layer

Sets the dimension of the layer.

setDimensions(int, int) - Method in class org.joone.engine.learning.AbstractTeacherSynapse

setDimensions(int, int) - Method in class org.joone.engine.learning.ComparingSynapse

setDimensions(int, int) - Method in class org.joone.engine.learning.ComparisonSynapse

setDimensions(int, int) - Method in class org.joone.engine.learning.TeachingSynapse

setDimensions() - Method in class org.joone.engine.MemoryLayer

setDimensions() - Method in class org.joone.engine.RbfGaussianLayer

setDimensions(int, int) - Method in class org.joone.engine.RbfInputSynapse

setDimensions() - Method in class org.joone.engine.RbfLayer

setDimensions() - Method in class org.joone.engine.SimpleLayer

setDimensions(int, int) - Method in class org.joone.engine.Synapse

Dimensiona l'elemento

setDimensions(int, int) - Method in class org.joone.io.StreamInputSynapse

setDimensions(int, int) - Method in class org.joone.io.StreamOutputSynapse

Dimensiona l'elemento

setDimensions() - Method in class org.joone.net.NestedNeuralLayer

setDimensions(int, int) - Method in class org.joone.structure.PatternForwardedSynapse

setdriverName(String) - Method in class org.joone.io.JDBCInputSynapse

Sets the name of the database jdbc driver.

setdriverName(String) - Method in class org.joone.io.JDBCOutputSynapse

Sets the name of the database jdbc driver.

setEmbeddedNet(File) - Method in class org.joone.net.NestedNeuralLayer

setEnabled(boolean) - Method in class org.joone.engine.extenders.LearnerExtender

Sets the mode of this extender.

setEnabled(boolean) - Method in class org.joone.engine.learning.ComparingSynapse

Setter for property enabled.

setEnabled(boolean) - Method in class org.joone.engine.learning.TeachingSynapse

Setter for property enabled.

setEnabled(boolean[][]) - Method in class org.joone.engine.Matrix

Sets enabled[][].

setEnabled(boolean) - Method in interface org.joone.engine.NeuralElement

setEnabled(boolean) - Method in class org.joone.engine.OutputSwitchSynapse

Setter for property enabled.

setEnabled(boolean) - Method in class org.joone.engine.Synapse

Setter for property enabled.

setEndDate(Date) - Method in class org.joone.io.YahooFinanceInputSynapse

setEOF(boolean) - Method in class org.joone.io.StreamInputSynapse

setEpsilon(double) - Method in class org.joone.structure.Nakayama

Sets epsilon, the threshold to decide if a neuron should be deleted or not.

setErrorLevel(double) - Method in class org.joone.engine.listeners.ErrorBasedTerminator

Sets the error level.

setEtaDec(double) - Method in class org.joone.engine.RpropParameters

Sets the decremental learning factor/rate.

setEtaInc(double) - Method in class org.joone.engine.RpropParameters

Sets the incremental learning factor/rate.

setEventMacro(boolean) - Method in class org.joone.script.JooneMacro

Setter for property system.

setExporting(boolean) - Method in class org.joone.engine.Monitor

Setter for property exporting.

setFileFilter(String) - Method in class org.joone.io.ImageInputSynapse

setFileName(String) - Method in class org.joone.io.FileInputSynapse

Deprecated. use setInputFile instead

setFileName(String) - Method in class org.joone.io.FileOutputSynapse

setFileName(String) - Method in class org.joone.io.XLSInputSynapse

Deprecated. use setInputFile instead

setFileName(String) - Method in class org.joone.io.XLSOutputSynapse

Sets the XLS file name that this synapse should output data to.

setFilename(String) - Method in class org.joone.util.SnapshotRecorder

Set the name of the file to which snapshots will be written.

setFirstCol(int) - Method in interface org.joone.io.InputSynapse

setFirstCol(int) - Method in class org.joone.io.StreamInputSynapse

Deprecated.

setFirstRow(int) - Method in interface org.joone.io.InputSynapse

setFirstRow(int) - Method in class org.joone.io.MultipleInputSynapse

setFirstRow(int) - Method in class org.joone.io.StreamInputSynapse

Inserire qui la descrizione del metodo.

setFirstTime(boolean) - Method in class org.joone.engine.learning.AbstractTeacherSynapse

Sets the first time flag (is it the first time data is forwarded to this teacher).

setFixed(boolean[][]) - Method in class org.joone.engine.Matrix

Sets fixed.

setFlatSpotConstant(double) - Method in class org.joone.engine.SigmoidLayer

Sets the constant to overcome the flat spot problem.

setFlatSpotConstant(double) - Method in class org.joone.engine.TanhLayer

Sets the constant to overcome the flat spot problem.

setFormat(String) - Method in class org.joone.util.SnapshotRecorder

Set the format used for snapshots.

setGaussianParameters(RbfGaussianParameters[]) - Method in class org.joone.engine.RbfGaussianLayer

Sets the parameters that define the Gaussian RBFs.

setGlobalError(double) - Method in class org.joone.engine.Monitor

Sets the actual error of the NN

setHeight(int) - Method in class org.joone.io.ImageOutputSynapse

Sets the desired height of the generated image files.

setIgnoreBefore(int) - Method in class org.joone.engine.Synapse

Sets the number of the ignored cycles at beginning of each epoch.

setImageDirectory(File) - Method in class org.joone.io.ImageInputSynapse

setImageFileType(int) - Method in class org.joone.io.ImageOutputSynapse

Sets the image type JPG = 1, GIF = 2, PNG = 3 of the format of the generated image files.

setImageInput(Image[]) - Method in class org.joone.io.ImageInputSynapse

setInDataMax(double) - Method in class org.joone.util.UnNormalizerOutputPlugIn

Sets the max value of the input data set

setInDataMin(double) - Method in class org.joone.util.UnNormalizerOutputPlugIn

Sets the min value of the input data set

setInitialDelta(double) - Method in class org.joone.engine.RpropParameters

Sets the initial delta for all delta's.

setInitialGaussianSize(double) - Method in class org.joone.engine.GaussianLayer

Setter for property initialGaussianSize.

setInitialGaussianSize(double) - Method in class org.joone.engine.SpatialMap

Sets the initial guassian size of the spatial neighborhood.

setInputArray(double[][]) - Method in class org.joone.io.MemoryInputSynapse

Setter for property inputArray.

setInputDimension(InputPatternListener) - Method in class org.joone.engine.Layer

Sets the dimension of the listener passed as parameter.

setInputDimension(int) - Method in class org.joone.engine.learning.AbstractTeacherSynapse

setInputDimension(int) - Method in class org.joone.engine.learning.ComparingSynapse

setInputDimension method.

setInputDimension(int) - Method in class org.joone.engine.learning.ComparisonSynapse

setInputDimension(int) - Method in class org.joone.engine.learning.TeachingSynapse

setInputDimension method.

setInputDimension(int) - Method in interface org.joone.engine.OutputPatternListener

Sets the dimension of the output synapse

setInputDimension(int) - Method in class org.joone.engine.OutputSwitchSynapse

Sets the dimension of the output synapse

setInputDimension(int) - Method in class org.joone.engine.Synapse

Sets the input dimension of the synapse

setInputFile(File) - Method in class org.joone.io.FileInputSynapse

setInputFile(File) - Method in class org.joone.io.XLSInputSynapse

setInputFull(boolean) - Method in interface org.joone.engine.InputPatternListener

setInputFull(boolean) - Method in class org.joone.engine.Synapse

Setter for property inputFull.

setInputLayer(Layer) - Method in class org.joone.net.NeuralNet

setInputPatterns(Vector) - Method in class org.joone.io.StreamInputSynapse

Setter for property inputPatterns.

setInputSynapse(StreamInputSynapse) - Method in class org.joone.io.InputConnector

Attach a StreamInputSynapse to this connector.

setInputSynapses(ArrayList) - Method in class org.joone.engine.Layer

Sets the Vector that contains all the input listeners.

setInputVector(Vector) - Method in class org.joone.util.AbstractConverterPlugIn

Sets the input vector of Patterns that this converter plugin should process.

setK(double) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender

Sets the noise decay constant.

setLastCol(int) - Method in interface org.joone.io.InputSynapse

setLastCol(int) - Method in class org.joone.io.StreamInputSynapse

Deprecated.

setLastEpoch(int) - Method in class org.joone.net.NeuralNetAttributes

setLastRow(int) - Method in interface org.joone.io.InputSynapse

setLastRow(int) - Method in class org.joone.io.MultipleInputSynapse

setLastRow(int) - Method in class org.joone.io.StreamInputSynapse

Inserire qui la descrizione del metodo.

setLayerDepth(int) - Method in class org.joone.engine.GaussianLayer

Setter for property LayerDepth.

setLayerDepth(int) - Method in class org.joone.engine.WTALayer

Setter for property LayerDepth.

setLayerHeight(int) - Method in class org.joone.engine.GaussianLayer

Setter for property LayerHeight.

setLayerHeight(int) - Method in class org.joone.engine.WTALayer

Setter for property LayerHeight.

setLayerName(String) - Method in class org.joone.engine.Layer

Sets the name of the layer

setLayerName(String) - Method in interface org.joone.engine.NeuralLayer

Sets the name of the layer

setLayerName(String) - Method in class org.joone.net.NestedNeuralLayer

setLayerName(String) - Method in class org.joone.net.NeuralNet

setLayers(Vector) - Method in class org.joone.net.NeuralNet

Permits to initialize a neural network with a Vector containing layers.

setLayersList(ArrayList) - Method in class org.joone.net.NeuralNet

Permits to initialize a neural network with an ArrayList containing layers.

setLayerWidth(int) - Method in class org.joone.engine.GaussianLayer

Setter for property LayerWidth.

setLayerWidth(int) - Method in class org.joone.engine.WTALayer

Setter for property LayerWidth.

setLearner(ExtendableLearner) - Method in class org.joone.engine.extenders.LearnerExtender

Sets the learner.

setLearnerFactory(LearnerFactory) - Method in class org.joone.engine.Monitor

Set learner factory.

setLearners(List) - Method in class org.joone.engine.Monitor

Setter for property learners.

setLearning(boolean) - Method in class org.joone.engine.Monitor

Sets the phase of the neural network: learning (true) or recall (false)

setLearning(boolean) - Method in class org.joone.net.NestedNeuralLayer

Setter for property learning.

setLearningMode(int) - Method in class org.joone.engine.Monitor

Setter for property learningMode.

setLearningRate(double) - Method in class org.joone.engine.Monitor

Sets the learning rate

setLearningRate(double) - Method in class org.joone.engine.Synapse

Sets the value of the learning rate

setLearningRateFinal(double) - Method in class org.joone.util.LinearAnnealing

Insert the method's description here.

setLearningRateInitial(double) - Method in class org.joone.util.LinearAnnealing

Insert the method's description here.

setListeners(Vector) - Method in class org.joone.net.NeuralNet

setLoopBack(boolean) - Method in class org.joone.engine.Synapse

Setter for property loopBack.

setLowerBit(double) - Method in class org.joone.engine.learning.FahlmanTeacherSynapse

Sets the lower bit.

setLowerBit(double) - Method in class org.joone.util.ToBinaryPlugin

Sets the value for the lower bit.

setLowerBitPercentage(double) - Method in class org.joone.engine.learning.FahlmanTeacherSynapse

Sets the lower bit percentage.

setLowerBound(double) - Method in class org.joone.engine.weights.FanInBasedWeightInitializer

Sets the lower bound.

setLowerBound(double) - Method in class org.joone.engine.weights.RandomWeightInitializer

Sets the lower bound.

setLrate(double) - Method in class org.joone.engine.SimpleLayer

Needed for Save As XML

setM_cols(int) - Method in class org.joone.engine.Matrix

Sets m_cols.

setM_rows(int) - Method in class org.joone.engine.Matrix

Sets m_rows.

setMacroManager(MacroManager) - Method in interface org.joone.script.MacroInterface

Setter for property macroManager.

setMacroManager(MacroManager) - Method in class org.joone.util.GroovyMacroPlugin

Setter for property macroManager.

setMacroManager(MacroManager) - Method in class org.joone.util.MacroPlugin

Setter for property macroManager.

setMacroPlugin(MacroInterface) - Method in class org.joone.net.NeuralNet

Setter for property macroPlugin.

setMapDepth(int) - Method in class org.joone.engine.SpatialMap

Sets the depth of this spatial map.

setMapDimensions(int, int, int) - Method in class org.joone.engine.SpatialMap

Sets the dimensions of the spatial map.

setMapHeight(int) - Method in class org.joone.engine.SpatialMap

Sets the height of this spatial map.

setMapWidth(int) - Method in class org.joone.engine.SpatialMap

Sets the width of this spatial map.

setMax(double) - Method in class org.joone.util.NormalizerPlugIn

Sets the max value of the normalization range Creation date: (23/10/2000 23.25.55)

setMaxBufSize(int) - Method in class org.joone.io.StreamInputSynapse

Setter for property maxBufSize.

setMaxDelta(double) - Method in class org.joone.engine.RpropParameters

Sets the maximum allowed delta value.

setMean(double[]) - Method in class org.joone.engine.RbfGaussianParameters

Sets the mean (center) of the Gaussian RBF.

setMessage(String) - Method in class org.joone.net.NetCheck

Setter for the error message

setMin(double) - Method in class org.joone.util.NormalizerPlugIn

Sets the min value of the normalization range Creation date: (23/10/2000 23.25.32)

setMinChangePercentage(double) - Method in class org.joone.util.MinMaxExtractorPlugIn

Set the min percentage of change accepted to consider a point as a turning point (29/09/00 18.46.53)

setMinDelta(double) - Method in class org.joone.engine.RpropParameters

Sets the minimum allowed delta value.

setMomentum(double) - Method in class org.joone.engine.Monitor

Sets the momentum

setMomentum(double) - Method in class org.joone.engine.SimpleLayer

Needed for Save As XML

setMomentum(double) - Method in class org.joone.engine.Synapse

Sets the value of the momentum rate

setMomentumFinal(double) - Method in class org.joone.util.LinearAnnealing

Insert the method's description here.

setMomentumInitial(double) - Method in class org.joone.util.LinearAnnealing

Insert the method's description here.

setMonitor(Monitor) - Method in class org.joone.engine.AbstractLearner

Override this method to get the needed parameters from the Monitor object passed as parameter

setMonitor(Monitor) - Method in class org.joone.engine.KohonenSynapse

Sets the Monitor object of the synapse

setMonitor(Monitor) - Method in class org.joone.engine.Layer

Sets the monitor object

setMonitor(Monitor) - Method in interface org.joone.engine.Learner

Used to set the parameters used by this Learner

setMonitor(Monitor) - Method in class org.joone.engine.learning.AbstractTeacherSynapse

Sets the Monitor object of the Teacher Synapse.

setMonitor(Monitor) - Method in class org.joone.engine.learning.ComparingSynapse

Data di creazione: (06/04/00 23.33.24)

setMonitor(Monitor) - Method in class org.joone.engine.learning.ComparisonSynapse

Sets the Monitor object of the Teacher Synapse.

setMonitor(Monitor) - Method in class org.joone.engine.learning.TeachingSynapse

Inserire qui la descrizione del metodo.

setMonitor(Monitor) - Method in interface org.joone.engine.NeuralElement

Sets the Monitor object of the output synapse

setMonitor(Monitor) - Method in interface org.joone.engine.NeuralLayer

Sets the monitor object

setMonitor(Monitor) - Method in class org.joone.engine.OutputSwitchSynapse

Sets the Monitor object of the input synapse

setMonitor(Monitor) - Method in class org.joone.engine.SimpleLayer

setMonitor(Monitor) - Method in class org.joone.engine.Synapse

Sets the Monitor object of the synapse

setMonitor(Monitor) - Method in class org.joone.io.InputConnector

setMonitor(Monitor) - Method in class org.joone.io.InputSwitchSynapse

Sets the Monitor object of the input synapse

setMonitor(Monitor) - Method in class org.joone.net.NestedNeuralLayer

setMonitor(Monitor) - Method in class org.joone.net.NeuralNet

setN(double) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender

Sets the constant controlling the initial noise.

setName(String) - Method in class org.joone.engine.learning.ComparingSynapse

setName(String) - Method in class org.joone.engine.learning.TeachingSynapse

setName(String) - Method in interface org.joone.engine.NeuralElement

Sets the name of the output synapse

setName(String) - Method in class org.joone.engine.OutputSwitchSynapse

Sets the name of the output synapse

setName(String) - Method in class org.joone.engine.Synapse

Sets the name of the synapse

setName(String) - Method in class org.joone.io.InputSwitchSynapse

Sets the name of the input synapse

setName(String) - Method in class org.joone.script.JooneMacro

Setter for property name.

setName(String) - Method in class org.joone.util.AbstractConverterPlugIn

Sets the name of this plug-in object.

setName(String) - Method in class org.joone.util.MonitorPlugin

Setter for property name.

setNestedNeuralNet(NeuralNet) - Method in class org.joone.net.NestedNeuralLayer

Setter for property NestedNeuralNet.

setNeuralNet(NeuralNet) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver

Sets the neural network to be checked for convergence.

setNeuralNet(NeuralNet) - Method in class org.joone.engine.NeuralNetEvent

Setter for the NeuralNet generating this event.

setNeuralNet(String) - Method in class org.joone.net.NestedNeuralLayer

setNeuralNet(NeuralNet) - Method in class org.joone.util.MonitorPlugin

setNeuralNetName(String) - Method in class org.joone.net.NeuralNetAttributes

Setter for property neuralNetName.

setNextPlugin(AbstractConverterPlugIn) - Method in class org.joone.util.AbstractConverterPlugIn

Deprecated. AbstractConverterPlugIn.addPlugIn(AbstractConverterPlugIn)

setNextPlugIn(AbstractConverterPlugIn) - Method in class org.joone.util.AbstractConverterPlugIn

Added for XML serialization **** DO NOT USE **** Use AbstractConverterPlugIn.addPlugIn(AbstractConverterPlugIn)

setNnet(NeuralNet) - Method in class org.joone.util.NeuralNetRunner

setOrderedLayers(Layer[]) - Method in class org.joone.net.NeuralNet

This method permits to set externally a particular order to traverse the Layers.

setOrderingPhase(int) - Method in class org.joone.engine.GaussianLayer

Setter for property orderingPhase.

setOrderingPhase(int) - Method in class org.joone.engine.KohonenSynapse

Setter for property orderingPhase.

setOrderingPhase(int) - Method in class org.joone.engine.SpatialMap

Setter for property orderingPhase.

setOutArray(double[]) - Method in class org.joone.engine.Pattern

Setter for property outArray.

setOutDataMax(double) - Method in class org.joone.util.UnNormalizerOutputPlugIn

Sets the new max value for the output data set.

setOutDataMin(double) - Method in class org.joone.util.UnNormalizerOutputPlugIn

Sets the new min value for the output data set.

setOutputDimension(int) - Method in interface org.joone.engine.InputPatternListener

Sets the dimension of the input synapse

setOutputDimension(OutputPatternListener) - Method in class org.joone.engine.Layer

Sets the dimension of the listener passed as parameter.

setOutputDimension(OutputPatternListener) - Method in class org.joone.engine.MemoryLayer

Sets the dimansion of the output (22/03/00 1.45.24)

setOutputDimension(int) - Method in class org.joone.engine.Synapse

Sets the output dimension of the synapse

setOutputDimension(int) - Method in class org.joone.io.InputSwitchSynapse

Sets the dimension of the input synapse

setOutputDirectory(String) - Method in class org.joone.io.ImageOutputSynapse

Sets the name of the directory where Image files will be created.

setOutputFull(boolean) - Method in class org.joone.engine.learning.ComparingSynapse

Setter for property outputFull.

setOutputFull(boolean) - Method in class org.joone.engine.learning.TeachingSynapse

Setter for property outputFull.

setOutputFull(boolean) - Method in interface org.joone.engine.OutputPatternListener

setOutputFull(boolean) - Method in class org.joone.engine.OutputSwitchSynapse

Setter for property outputFull.

setOutputFull(boolean) - Method in class org.joone.engine.Synapse

Setter for property outputFull.

setOutputLayer(Layer) - Method in class org.joone.net.NeuralNet

setOutputSynapses(ArrayList) - Method in class org.joone.engine.Layer

Sets the Vector that contains all the output listeners.

setParam(String, Object) - Method in class org.joone.engine.Monitor

Sets a custom parameter of the Monitor.

setParam(String, Object) - Method in class org.joone.net.NeuralNet

Sets a custom parameter of the neural net.

setParameters(RpropParameters) - Method in class org.joone.engine.extenders.RpropExtender

Sets the parameters for this learning algorithm.

setParameters(RpropParameters) - Method in class org.joone.engine.RpropLearner

setParent(Monitor) - Method in class org.joone.engine.Monitor

Setter for property parent.

setParentClass(Class) - Method in interface org.joone.log.ILogger

setParentClass(Class) - Method in class org.joone.log.JooneLogger

setParentClass(Class) - Method in class org.joone.log.Log4JLogger

setPattern(Pattern) - Method in class org.joone.util.OutputConverterPlugIn

Sets the current pattern to convert.

setPercentage(double) - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver

Sets the percentage.

setPeriod(String) - Method in class org.joone.io.YahooFinanceInputSynapse

Sets the period with which to retrieve data should be one of "Daily" or "Monthly" or "Yearly".

setPlugin(ConverterPlugIn) - Method in class org.joone.io.StreamInputSynapse

Deprecated. StreamInputSynapse.addPlugIn(ConverterPlugIn). If you want to replace the plug in by setting a new plug in please use #removeAllPlugIns(ConverterPlugIn) and StreamInputSynapse.addPlugIn(ConverterPlugIn).

setPlugIn(ConverterPlugIn) - Method in class org.joone.io.StreamInputSynapse

Added for XML serialization **** DO NOT USE **** Use getPlugin instead

setPlugIn(OutputConverterPlugIn) - Method in class org.joone.io.StreamOutputSynapse

Deprecated. use StreamOutputSynapse.addPlugIn(OutputConverterPlugIn)

setPreLearning(int) - Method in class org.joone.engine.Monitor

Sets the initial ignored input patterns (during the training phase)

setRandomBoundary(double) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender

Sets the noise decay constant.

setRate(int) - Method in class org.joone.util.MonitorPlugin

Setter for property rate.

setRows(int) - Method in class org.joone.engine.Layer

Sets the dimension (# of neurons) of the Layer

setRows(int) - Method in interface org.joone.engine.NeuralLayer

Sets the dimension (# of neurons) of the Layer

setRows(int) - Method in class org.joone.net.NestedNeuralLayer

setRows(int) - Method in class org.joone.net.NeuralNet

setScriptingEnabled(boolean) - Method in class org.joone.net.NeuralNet

Enable/disable the scripting engine for the net.

setSeenPatterns(int) - Method in class org.joone.engine.learning.AbstractTeacherSynapse

Set the value of the number of patterns seen during the current epoch.

setSeparator(char) - Method in class org.joone.io.StreamOutputSynapse

Inserire qui la descrizione del metodo.

setSeverity(int) - Method in class org.joone.net.NetCheck

Setter for the error severity

setSheetName(String) - Method in class org.joone.io.XLSInputSynapse

Sets the name of the sheet within the XLS file to extract input data from.

setSheetName(String) - Method in class org.joone.io.XLSOutputSynapse

Sets the sheet name within the XLS file that this synapse should write data to.

setSingleThread(Thread) - Method in class org.joone.net.NeuralNet

setSingleThreadMode(boolean) - Method in class org.joone.engine.Monitor

setSize(double) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver

Sets the size.

setSource(Object) - Method in class org.joone.net.NetCheck

Setter for the object that caused the error

setSQLAmendment(String) - Method in class org.joone.io.JDBCOutputSynapse

Sets the SQLAmendment attribute of the JDBCInputSynapse object

setSQLQuery(String) - Method in class org.joone.io.JDBCInputSynapse

Sets the sQLQuery attribute of the JDBCInputSynapse object

setSqrtFanIn(boolean) - Method in class org.joone.engine.weights.FanInBasedWeightInitializer

Sets the flag indicating the mode of the fan-in to use.

setStartCol(int) - Method in class org.joone.io.XLSOutputSynapse

Set the starting col (0 based) of the XLS sheet.

setStartDate(Date) - Method in class org.joone.io.YahooFinanceInputSynapse

setStartRow(int) - Method in class org.joone.io.XLSOutputSynapse

Set the starting row (0 based) of the XLS sheet.

setStdDeviation(double) - Method in class org.joone.engine.RbfGaussianParameters

Sets the standard deviation (sigma) of the Gaussian RBF.

setStep(double) - Method in class org.joone.util.DynamicAnnealing

Setter for property step.

setStepCounter(boolean) - Method in class org.joone.io.InputSwitchSynapse

setStepCounter(boolean) - Method in interface org.joone.io.InputSynapse

Set to true if this input layer is an active counter of the steps.

setStepCounter(boolean) - Method in class org.joone.io.StreamInputSynapse

Inserire qui la descrizione del metodo.

setSupervised(boolean) - Method in class org.joone.engine.Monitor

Setter for property supervised.

setSymbol(String) - Method in class org.joone.io.YahooFinanceInputSynapse

Deprecated. Use setEndDate instead

setTaps(int) - Method in class org.joone.engine.DelaySynapse

Inserire qui la descrizione del metodo.

setTaps(int) - Method in class org.joone.engine.MemoryLayer

Inserire qui la descrizione del metodo.

setTeacher(ComparingElement) - Method in class org.joone.net.NeuralNet

Sets the Teacher for this NeuralNet object

setText(String) - Method in class org.joone.script.JooneMacro

Setter for property text.

setTheComparisonSynapse(ComparisonSynapse) - Method in class org.joone.engine.learning.ComparingSynapse

Needed for Save as XML

setTheLinearLayer(LinearLayer) - Method in class org.joone.engine.learning.ComparingSynapse

Needed for Save as XML

setTheLinearLayer(LinearLayer) - Method in class org.joone.engine.learning.TeachingSynapse

Needed for Save as XML

setTheTeacherSynapse(TeacherSynapse) - Method in class org.joone.engine.learning.TeachingSynapse

Needed for Save as XML

setTimeConstant(double) - Method in class org.joone.engine.ContextLayer

Setter for property timeConstant.

setTimeConstant(double) - Method in class org.joone.engine.GaussianLayer

Setter for property timeConstant.

setTimeConstant(double) - Method in class org.joone.engine.KohonenSynapse

Setter for property timeConstant.

setTimeConstant(double) - Method in class org.joone.engine.SpatialMap

Setter for property TimeConstant.

setTokens(PatternTokenizer) - Method in class org.joone.io.StreamInputSynapse

setTotCicles(int) - Method in class org.joone.engine.Monitor

Sets the total number of epochs

setTrainingDataForValidation(boolean) - Method in class org.joone.engine.Monitor

Setter for the property trainingDataForValidation.

setTrainingError(double) - Method in class org.joone.net.NeuralNetAttributes

Setter for property trainingError.

setTrainingPatterns(int) - Method in class org.joone.engine.Monitor

Sets the number of the input training patterns

setTrainingSet(StreamInputSynapse) - Method in class org.joone.util.LearningSwitch

Setter for property trainingSet.

setUpdateWeightExtender(UpdateWeightExtender) - Method in class org.joone.engine.ExtendableLearner

Sets an update weight extender.

setUpperBit(double) - Method in class org.joone.engine.learning.FahlmanTeacherSynapse

Sets the upper bit.

setUpperBit(double) - Method in class org.joone.util.ToBinaryPlugin

Sets the value for the upper bit.

setUpperBitPercentage(double) - Method in class org.joone.engine.learning.FahlmanTeacherSynapse

Sets the upper bit percentage.

setUpperBound(double) - Method in class org.joone.engine.weights.FanInBasedWeightInitializer

Sets the upper bound.

setUpperBound(double) - Method in class org.joone.engine.weights.RandomWeightInitializer

Sets the upper bound.

setURL(String) - Method in class org.joone.io.URLInputSynapse

Sets the URL to extract input data from.

setUseRMSE(boolean) - Method in class org.joone.engine.Monitor

Uses the RMSE when set to true.

setValidation(boolean) - Method in class org.joone.engine.Monitor

Setter for property validation.

setValidationError(double) - Method in class org.joone.net.NeuralNetAttributes

Setter for property validationError.

setValidationPatterns(int) - Method in class org.joone.engine.Monitor

Sets the number of the input validation patterns

setValidationSet(StreamInputSynapse) - Method in class org.joone.util.LearningSwitch

Setter for property validationSet.

setValue(double[][]) - Method in class org.joone.engine.Matrix

Sets value[][].

setValue(int, double) - Method in class org.joone.engine.Pattern

setValues(double[]) - Method in class org.joone.engine.Pattern

Setter for property values.

setWeightInitializer(WeightInitializer) - Method in class org.joone.engine.Matrix

Sets the weight initializer and initializes the weights.

setWeightInitializer(WeightInitializer, boolean) - Method in class org.joone.engine.Matrix

Sets the weight initializer.

setWeights(Matrix) - Method in interface org.joone.engine.LearnableSynapse

setWeights(Matrix) - Method in class org.joone.engine.Synapse

Setter for the internal matrix of weights

setWidth(int) - Method in class org.joone.io.ImageOutputSynapse

Sets the desired width of the generated image files.

ShufflePlugin - Class in org.joone.util

This plugin shuffles the content of the input buffer by mixing randomly the rows.

ShufflePlugin() - Constructor for class org.joone.util.ShufflePlugin

Creates a new instance of ShufflePlugin

ShufflePluginBeanInfo - Class in org.joone.util

ShufflePluginBeanInfo() - Constructor for class org.joone.util.ShufflePluginBeanInfo

SigmoidLayer - Class in org.joone.engine

The output of a sigmoid layer neuron is the sum of the weighted input values, applied to a sigmoid function.

SigmoidLayer() - Constructor for class org.joone.engine.SigmoidLayer

The constructor

SigmoidLayer(String) - Constructor for class org.joone.engine.SigmoidLayer

The constructor

sign(double) - Method in class org.joone.engine.extenders.RpropExtender

Gets the sign of a double.

sign(double) - Method in class org.joone.engine.RpropLearner

Gets the sign of a double.

SimpleLayer - Class in org.joone.engine

This abstract class represents layers that are composed by neurons that implement some transfer function.

SimpleLayer() - Constructor for class org.joone.engine.SimpleLayer

The constructor

SimpleLayer(String) - Constructor for class org.joone.engine.SimpleLayer

The constructor

SimpleLayerBeanInfo - Class in org.joone.engine

SimpleLayerBeanInfo() - Constructor for class org.joone.engine.SimpleLayerBeanInfo

SimulatedAnnealingExtender - Class in org.joone.engine.extenders

Simulated annealing (SA) refers to the process in which random or thermal noise in a system is systematically decreased over time so as to enhance the system's response.

SimulatedAnnealingExtender() - Constructor for class org.joone.engine.extenders.SimulatedAnnealingExtender

Creates a new instance of SimulatedAnnealingExtender

SineLayer - Class in org.joone.engine

The output of a sine layer neuron is the sum of the weighted input values, applied to a sine (sin(x)).

SineLayer() - Constructor for class org.joone.engine.SineLayer

Creates a new instance of SineLayer

SineLayer(String) - Constructor for class org.joone.engine.SineLayer

Creates a new instance of SineLayer

singleStepBackward(Pattern) - Method in class org.joone.net.NeuralNet

singleStepForward(Pattern) - Method in class org.joone.net.NeuralNet

SnapshotFormatEditor - Class in org.joone.util

A property editor for the format property of a SnapshotRecorder plugin.

SnapshotFormatEditor() - Constructor for class org.joone.util.SnapshotFormatEditor

SnapshotPlugin - Class in org.joone.util

A SnapshotPlugin manages the generation of snapshots of the network's state at regular intervals during its activity.

SnapshotPlugin() - Constructor for class org.joone.util.SnapshotPlugin

Creates a new SnapshotPlugin object.

SnapshotRecorder - Class in org.joone.util

A SnapshotRecorder serves to create and record snapshots of a neural network in a file as a serie of serialized objects graphs.

SnapshotRecorder() - Constructor for class org.joone.util.SnapshotRecorder

SnapshotRecorderBeanInfo - Class in org.joone.util

SnapshotRecorderBeanInfo() - Constructor for class org.joone.util.SnapshotRecorderBeanInfo

SoftmaxLayer - Class in org.joone.engine

The outputs of the Softmax layer must be interpreted as probabilities.

SoftmaxLayer() - Constructor for class org.joone.engine.SoftmaxLayer

Creates a new instance of SoftmaxLayer

source(String) - Method in class org.joone.script.JooneGroovyScript

source(String) - Method in class org.joone.script.JooneScript

SpatialMap - Class in org.joone.engine

SpatialMap is intended to be an abstract spatial map for use with a GaussianLayer.

SpatialMap() - Constructor for class org.joone.engine.SpatialMap

start() - Method in class org.joone.engine.AbstractEventNotifier

start() - Method in class org.joone.engine.GaussianLayer

start() - Method in class org.joone.engine.Layer

Starts the Layer

start() - Method in interface org.joone.engine.NeuralLayer

Starts the Layer

start() - Method in class org.joone.net.NestedNeuralLayer

start() - Method in class org.joone.net.NeuralNet

Starts all the Layers' threads, in order to prepare the launch of the neural network in multi-thread mode.

start() - Method in class org.joone.net.NeuralNetValidator

Starts the validation into a separated thread

step - Variable in class org.joone.engine.Layer

The step number of the network run.

stepBackward(Pattern) - Method in class org.joone.net.NeuralNet

stepForward(Pattern) - Method in class org.joone.net.NeuralNet

stop() - Method in class org.joone.engine.Layer

Stops the Layer

stop() - Method in class org.joone.engine.learning.ComparingSynapse

stop() - Method in class org.joone.engine.learning.TeachingSynapse

Stop() - Method in class org.joone.engine.Monitor

Stops the NN when running in multi-thread mode.

stop() - Method in class org.joone.net.NestedNeuralLayer

stop() - Method in class org.joone.net.NeuralNet

Terminates the execution of this NeuralNet independently from the threading mode activated.

STOP_FLAG - Static variable in class org.joone.engine.Layer

Stop flag.

stopFastRun() - Method in class org.joone.net.NeuralNet

stopTheNet() - Method in class org.joone.engine.learning.AbstractTeacherSynapse

stopTheNet() - Method in class org.joone.engine.learning.ComparisonSynapse

storeWeightsBiases() - Method in class org.joone.engine.extenders.BatchModeExtender

storeWeightsBiases() - Method in class org.joone.engine.extenders.OnlineModeExtender

storeWeightsBiases() - Method in class org.joone.engine.extenders.UpdateWeightExtender

Checks if the weights or biases will be stored this cycle.

StreamInputFactory - Class in org.joone.io

StreamInputFactory() - Constructor for class org.joone.io.StreamInputFactory

StreamInputSynapse - Class in org.joone.io

StreamInputSynapse() - Constructor for class org.joone.io.StreamInputSynapse

StreamInputSynapseBeanInfo - Class in org.joone.io

StreamInputSynapseBeanInfo() - Constructor for class org.joone.io.StreamInputSynapseBeanInfo

StreamInputTokenizer - Class in org.joone.io

StreamInputTokenizer(Reader) - Constructor for class org.joone.io.StreamInputTokenizer

Creates new StreamInputTokenizer

StreamInputTokenizer(Reader, int) - Constructor for class org.joone.io.StreamInputTokenizer

Creates new StreamInputTokenizer

StreamOutputSynapse - Class in org.joone.io

StreamOutputSynapse() - Constructor for class org.joone.io.StreamOutputSynapse

StreamOutputSynapseBeanInfo - Class in org.joone.io

StreamOutputSynapseBeanInfo() - Constructor for class org.joone.io.StreamOutputSynapseBeanInfo

sumBackInput(double[]) - Method in class org.joone.engine.Layer

Calculates the net input of the error gradents during the learning phase

sumBackInput(double[]) - Method in class org.joone.engine.MemoryLayer

sumInput(double[]) - Method in class org.joone.engine.Layer

Calculates the net input of the values in the recall phase

Symbol - Variable in class org.joone.io.YahooFinanceInputSynapse

Synapse - Class in org.joone.engine

The Synapse is the connection element between two Layer objects.

Synapse() - Constructor for class org.joone.engine.Synapse

The constructor

SynapseBeanInfo - Class in org.joone.engine

SynapseBeanInfo() - Constructor for class org.joone.engine.SynapseBeanInfo

T

TanhLayer - Class in org.joone.engine

Layer that applies the tangent hyperbolic transfer function to its input patterns

TanhLayer() - Constructor for class org.joone.engine.TanhLayer

default constructor

TanhLayer(String) - Constructor for class org.joone.engine.TanhLayer

TanhLayerBeanInfo - Class in org.joone.engine

TanhLayerBeanInfo() - Constructor for class org.joone.engine.TanhLayerBeanInfo

TeacherSynapse - Class in org.joone.engine.learning

Final element of a neural network; it permits to calculate both the error of the last training cycle and the vector containing the error pattern to apply to the net to calculate the backprop algorithm.

TeacherSynapse() - Constructor for class org.joone.engine.learning.TeacherSynapse

TeacherSynapseBeanInfo - Class in org.joone.engine.learning

TeacherSynapseBeanInfo() - Constructor for class org.joone.engine.learning.TeacherSynapseBeanInfo

TeachingSynapse - Class in org.joone.engine.learning

TeachingSynapse() - Constructor for class org.joone.engine.learning.TeachingSynapse

TeachingSynapse(TeacherSynapse) - Constructor for class org.joone.engine.learning.TeachingSynapse

Creates a TeachingSynapse

TeachingSynapseBeanInfo - Class in org.joone.engine.learning

TeachingSynapseBeanInfo() - Constructor for class org.joone.engine.learning.TeachingSynapseBeanInfo

terminate(boolean) - Method in class org.joone.net.NeuralNet

Terminates the execution of all the threads of the neural network.

terminate() - Method in class org.joone.net.NeuralNet

Terminates the execution of all the threads of the neural network.

theDeltaRuleExtenders - Variable in class org.joone.engine.ExtendableLearner

The list with delta rule extenders, extenders that change the delta w, e.g. momentum term, etc.

theDeltas - Variable in class org.joone.engine.extenders.RpropExtender

Each weight has its own individual update-value (delta_ij(t)) represented by the next object.

theGradientExtenders - Variable in class org.joone.engine.ExtendableLearner

The list with gradient extenders, extenders that change the gradient.

thePreviousGradients - Variable in class org.joone.engine.extenders.RpropExtender

The gradient pattern of the previous epoch (dE(t-1)/dW_ij).

theRpropParameters - Variable in class org.joone.engine.extenders.RpropExtender

The parameters for the RPROP learning algorithm.

theSummedGradients - Variable in class org.joone.engine.extenders.RpropExtender

The current som of the gradients of all patterns seen so far.

theTeacherSynapse - Variable in class org.joone.engine.learning.TeachingSynapse

theUpdateWeightExtender - Variable in class org.joone.engine.ExtendableLearner

The update weight extender, that is, the way to update the weights, online, batch mode, etc.

TimeConstant - Variable in class org.joone.engine.SpatialMap

toBeManaged(Monitor) - Method in class org.joone.util.MonitorPlugin

ToBinaryPlugin - Class in org.joone.util

This plug-in converts 10-base data to binary format.

ToBinaryPlugin() - Constructor for class org.joone.util.ToBinaryPlugin

Creates a new instance of ToBinaryPlugin

ToBinaryPlugin(String) - Constructor for class org.joone.util.ToBinaryPlugin

Creates a new instance of ToBinaryPlugin

ToBinaryPluginBeanInfo - Class in org.joone.util

ToBinaryPluginBeanInfo() - Constructor for class org.joone.util.ToBinaryPluginBeanInfo

tokens - Variable in class org.joone.io.StreamInputSynapse

toString() - Method in class org.joone.engine.Layer

Produce a String representation of this layer

toString() - Method in class org.joone.net.NetCheck

Produce a String representation of the check.

toString() - Method in class org.joone.script.JooneMacro

U

unfixAll() - Method in class org.joone.engine.Matrix

Unfixes all the weights (or biases) of this matrix.

UnNormalizerOutputPlugIn - Class in org.joone.util

UnNormalizes the input data within a predefined range.

UnNormalizerOutputPlugIn() - Constructor for class org.joone.util.UnNormalizerOutputPlugIn

The default UnNormalizerOutputPlugIn constructor.

UnNormalizerOutputPlugIn(String, double, double, double, double) - Constructor for class org.joone.util.UnNormalizerOutputPlugIn

This constructor enables a new UnNormalizerOutputPlugin to be fully constructed during initialisation.

UnNormalizerOutputPlugInBeanInfo - Class in org.joone.util

UnNormalizerOutputPlugInBeanInfo() - Constructor for class org.joone.util.UnNormalizerOutputPlugInBeanInfo

updateBias(int, double) - Method in class org.joone.engine.ExtendableLearner

Updates a bias with the calculated delta value.

updateBias(int, double) - Method in class org.joone.engine.extenders.BatchModeExtender

updateBias(int, double) - Method in class org.joone.engine.extenders.OnlineModeExtender

updateBias(int, double) - Method in class org.joone.engine.extenders.UpdateWeightExtender

Updates a bias with the calculated delta value.

updateCurrentGaussianSize(int) - Method in class org.joone.engine.SpatialMap

Updates the current Gaussian Size depending on the current epoch and the time constant.

updateWeight(int, int, double) - Method in class org.joone.engine.ExtendableLearner

Updates a weight with the calculated delta value.

updateWeight(int, int, double) - Method in class org.joone.engine.extenders.BatchModeExtender

updateWeight(int, int, double) - Method in class org.joone.engine.extenders.OnlineModeExtender

updateWeight(int, int, double) - Method in class org.joone.engine.extenders.UpdateWeightExtender

Updates a weight with the calculated delta value.

UpdateWeightExtender - Class in org.joone.engine.extenders

This abstract class describes the methods needed for a update weight extender, that is, a class that updates weights (storing) according to some algorithm (e.g. batch mode).

UpdateWeightExtender() - Constructor for class org.joone.engine.extenders.UpdateWeightExtender

Creates a new instance of UpdateWeightExtender

URLInputSynapse - Class in org.joone.io

Allows data extraction from the internet or a file specified by a Universal Resource Locator or URL.

URLInputSynapse() - Constructor for class org.joone.io.URLInputSynapse

The default constructor for this class.

URLInputSynapseBeanInfo - Class in org.joone.io

URLInputSynapseBeanInfo() - Constructor for class org.joone.io.URLInputSynapseBeanInfo

useRandomCenter(StreamInputSynapse) - Method in class org.joone.engine.RbfGaussianLayer

Sets the Gaussian parameters to centers chosen randomly from the input/training data.

useTrainingData(boolean) - Method in class org.joone.net.NeuralNetValidator

By default the validator validates a neural network with validation data, however by calling this method before calling the start() method, one can decide if the network should be validated with validation data (the parameter anUse should be false) or by using the training data (the parameter anUse should be true).

V

validate() - Method in class org.joone.net.NeuralNetValidator

value - Variable in class org.joone.engine.Matrix

The values of the weights / biases.

value - Variable in class org.joone.util.MinMaxExtractorPlugIn.PointValue

VISAD_FORMAT - Static variable in class org.joone.util.SnapshotRecorder

The VisAD snapshot format (NeuralNetData serialized objects graph).

W

warn(Object) - Method in interface org.joone.log.ILogger

warn(Object, Throwable) - Method in interface org.joone.log.ILogger

warn(Object) - Method in class org.joone.log.JooneLogger

warn(Object, Throwable) - Method in class org.joone.log.JooneLogger

warn(Object) - Method in class org.joone.log.Log4JLogger

warn(Object, Throwable) - Method in class org.joone.log.Log4JLogger

WARNING - Static variable in class org.joone.net.NetCheck

Non-fatal check severity.

WeightDecayExtender - Class in org.joone.engine.extenders

Weight decay adds a penalty term to the error function.

WeightDecayExtender() - Constructor for class org.joone.engine.extenders.WeightDecayExtender

Creates a new instance of WeightDecayExtender

weightInitializer - Variable in class org.joone.engine.Matrix

The weight initializer that is used by this class.

WeightInitializer - Interface in org.joone.engine.weights

This interface desribes the methods that needs to be implemented in order to create new weight (or bias) initializers.

WeightsInspection - Class in org.joone.inspection.implementations

WeightsInspection(Matrix) - Constructor for class org.joone.inspection.implementations.WeightsInspection

weightsUpdateCorrelation(List, List, int, int) - Method in class org.joone.structure.Nakayama

Updates weights before a neuron is removed (because of its similar correlation).

weightsUpdateVariance(int, int, int) - Method in class org.joone.structure.Nakayama

Updates weights before a neuron is removed (because of its low variance).

write(Pattern) - Method in class org.joone.io.FileOutputSynapse

Writes to the printer object.

write(Pattern) - Method in class org.joone.io.ImageOutputSynapse

Writes the Neural Network pattern to an Image file, the Image type is specified by the ImageFileType property.

write(Pattern) - Method in class org.joone.io.JDBCOutputSynapse

Writes the pattern data to the database specified in the dbURL.

write(Pattern) - Method in class org.joone.io.MemoryOutputSynapse

Custom Synapses need to implement at least this method.

write(Pattern) - Method in class org.joone.io.StreamOutputSynapse

Custom xxxOutputSynapses need to implement at least this method.

write(Pattern) - Method in class org.joone.io.XLSOutputSynapse

Writes a Pattern to the XLS file.

writeNnet() - Method in class org.joone.util.NeuralNetRunner

writeObjectBase(ObjectOutputStream) - Method in class org.joone.io.StreamInputSynapse

WTALayer - Class in org.joone.engine

This layer implements the Winner Takes All SOM strategy.

WTALayer() - Constructor for class org.joone.engine.WTALayer

The default constructor for this WTALayer.

WTALayer(String) - Constructor for class org.joone.engine.WTALayer

The constructor allowing a name to be specified.

WTALayerBeanInfo - Class in org.joone.engine

WTALayerBeanInfo() - Constructor for class org.joone.engine.WTALayerBeanInfo

X

XLSInputSynapse - Class in org.joone.io

This class allows data to be presented to the network from an Excel XLS formatted file.

XLSInputSynapse() - Constructor for class org.joone.io.XLSInputSynapse

The default constructor for this XLSInputSynapse.

XLSInputSynapseBeanInfo - Class in org.joone.io

XLSInputSynapseBeanInfo() - Constructor for class org.joone.io.XLSInputSynapseBeanInfo

XLSInputTokenizer - Class in org.joone.io

XLSInputTokenizer(HSSFSheet) - Constructor for class org.joone.io.XLSInputTokenizer

XLSOutputSynapse - Class in org.joone.io

This class allows data to be read from an Excel XLS formatted file.

XLSOutputSynapse() - Constructor for class org.joone.io.XLSOutputSynapse

The default constructor for this XLSOutputSynapse.

XLSOutputSynapseBeanInfo - Class in org.joone.io

XLSOutputSynapseBeanInfo() - Constructor for class org.joone.io.XLSOutputSynapseBeanInfo

Y

YahooFinanceInputSynapse - Class in org.joone.io

The YahooFinanceInputSynapse provides support for financial data input from financial markets.

YahooFinanceInputSynapse() - Constructor for class org.joone.io.YahooFinanceInputSynapse

Constructor for the YahooFinanceInputSynapse object

YahooFinanceInputSynapseBeanInfo - Class in org.joone.io

YahooFinanceInputSynapseBeanInfo() - Constructor for class org.joone.io.YahooFinanceInputSynapseBeanInfo

Z

zeroPattern() - Method in class org.joone.io.StreamInputSynapse

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