org.joone.engine.learning

Class ComparisonSynapse

java.lang.Object

org.joone.engine.Synapse

org.joone.engine.learning.ComparisonSynapse

All Implemented Interfaces:

java.io.Serializable, InputPatternListener, Learnable, LearnableSynapse, NeuralElement, OutputPatternListener, Inspectable

public class ComparisonSynapse
extends Synapse

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. Used by the ComparingSynapse object.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ComparisonSynapse()

Method Summary

Modifier and Type	Method and Description
java.util.TreeSet	check() Base for check messages.
Pattern	fwdGet() Returns the pattern coming from the previous layer during the recall phase
void	fwdPut(Pattern pattern) Method to put a pattern forward to the next layer
StreamInputSynapse	getDesired() Inserire qui la descrizione del metodo.
int	getOutputDimension() Returns the output dimension of the synapse.
void	init() Synapse's initialization.
void	netStoppedError(NeuralNetEvent e, java.lang.String error)
void	reset() reset of the input synapse
void	resetInput()
Pattern	revGet() Returns the error pattern coming from the next layer during the training phase
void	revPut(Pattern pattern) Method to put an error pattern backward to the previous layer
boolean	setDesired(StreamInputSynapse newDesired) Set the input data stream containing desired training data
void	setInputDimension(int newInputDimension) Sets the input dimension of the synapse
void	setMonitor(Monitor newMonitor) Sets the Monitor object of the Teacher Synapse.

Methods inherited from class org.joone.engine.Synapse

addNoise, canCountSteps, getIgnoreBefore, getInputDimension, getLearner, getLearningRate, getMomentum, getMonitor, getName, getWeights, initLearner, InspectableTitle, Inspections, isEnabled, isInputFull, isLoopBack, isOutputFull, randomize, setEnabled, setIgnoreBefore, setInputFull, setLearningRate, setLoopBack, setMomentum, setName, setOutputDimension, setOutputFull, setWeights

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ComparisonSynapse

public ComparisonSynapse()

Method Detail

fwdGet

public Pattern fwdGet()

Description copied from interface: InputPatternListener

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

Specified by:

fwdGet in interface InputPatternListener

Overrides:

fwdGet in class Synapse

Returns:

neural.engine.Pattern

fwdPut

public void fwdPut(Pattern pattern)

Description copied from interface: OutputPatternListener

Method to put a pattern forward to the next layer

Specified by:

fwdPut in interface OutputPatternListener

Overrides:

fwdPut in class Synapse

Parameters:

pattern - neural.engine.Pattern

getDesired

public StreamInputSynapse getDesired()

Inserire qui la descrizione del metodo. Data di creazione: (11/04/00 1.12.04)

Returns:

neural.engine.StreamInputSynapse

revGet

public Pattern revGet()

Description copied from interface: OutputPatternListener

Returns the error pattern coming from the next layer during the training phase

Specified by:

revGet in interface OutputPatternListener

Overrides:

revGet in class Synapse

Returns:

neural.engine.Pattern

revPut

public void revPut(Pattern pattern)

Description copied from interface: InputPatternListener

Method to put an error pattern backward to the previous layer

Specified by:

revPut in interface InputPatternListener

Overrides:

revPut in class Synapse

Parameters:

pattern - neural.engine.Pattern

setDesired

public boolean setDesired(StreamInputSynapse newDesired)

Set the input data stream containing desired training data

Parameters:

newDesired - neural.engine.StreamInputSynapse

resetInput

public void resetInput()

setInputDimension

public void setInputDimension(int newInputDimension)

Description copied from class: Synapse

Sets the input dimension of the synapse

Specified by:

setInputDimension in interface OutputPatternListener

Overrides:

setInputDimension in class Synapse

Parameters:

newInputDimension - int

check

public java.util.TreeSet check()

Description copied from class: Synapse

Base for check messages. Subclasses should call this method from thier own check method.

Specified by:

check in interface NeuralElement

Overrides:

check in class Synapse

Returns:

validation errors.

See Also:

InputPaternListener, OutputPaternListener

reset

public void reset()

reset of the input synapse

Specified by:

reset in interface InputPatternListener

Overrides:

reset in class Synapse

setMonitor

public void setMonitor(Monitor newMonitor)

Sets the Monitor object of the Teacher Synapse. Adds this Techer Synapse as a NeuralNetListener so that it can reset after a critical error.

Specified by:

setMonitor in interface NeuralElement

Overrides:

setMonitor in class Synapse

Parameters:

newMonitor - neural.engine.Monitor

netStoppedError

public void netStoppedError(NeuralNetEvent e,
                            java.lang.String error)

getOutputDimension

public int getOutputDimension()

Returns the output dimension of the synapse.

Specified by:

getOutputDimension in interface InputPatternListener

Specified by:

getOutputDimension in interface LearnableSynapse

Overrides:

getOutputDimension in class Synapse

Returns:

int

init

public void init()

Description copied from class: Synapse

Synapse's initialization. It needs to be invoked at the starting of the neural network It's called within the Layer.init() method

Specified by:

init in interface NeuralElement

Overrides:

init in class Synapse