org.neuroph.nnet.learning

Class SupervisedHebbianLearning

java.lang.Object

org.neuroph.core.learning.LearningRule

org.neuroph.core.learning.IterativeLearning

org.neuroph.core.learning.SupervisedLearning

org.neuroph.nnet.learning.LMS

org.neuroph.nnet.learning.SupervisedHebbianLearning

All Implemented Interfaces:

Serializable

public class SupervisedHebbianLearning
extends LMS

Supervised hebbian learning rule.

Author:

Zoran Sevarac

See Also:

Serialized Form

Field Summary

Fields inherited from class org.neuroph.core.learning.SupervisedLearning

maxError, previousEpochError

Fields inherited from class org.neuroph.core.learning.IterativeLearning

currentIteration, learningRate, stopConditions

Fields inherited from class org.neuroph.core.learning.LearningRule

listeners, neuralNetwork, trainingSet

Constructor Summary

Constructors

Constructor and Description
SupervisedHebbianLearning() Creates new instance of SupervisedHebbianLearning algorithm

Method Summary

Modifier and Type	Method and Description
protected void	calculateWeightChanges(double[] desiredOutput) This method implements weight update procedure for the whole network for this learning rule
protected void	updateNeuronWeights(Neuron neuron, double desiredOutput) This method implements weights update procedure for the single neuron

Methods inherited from class org.neuroph.nnet.learning.LMS

calculateWeightChanges

Methods inherited from class org.neuroph.core.learning.SupervisedLearning

afterEpoch, beforeEpoch, doBatchWeightsUpdate, doLearningEpoch, getErrorFunction, getMaxError, getMinErrorChange, getMinErrorChangeIterationsCount, getMinErrorChangeIterationsLimit, getPreviousEpochError, getTotalNetworkError, isBatchMode, learn, learn, learnPattern, onStart, setBatchMode, setErrorFunction, setMaxError, setMinErrorChange, setMinErrorChangeIterationsLimit

Methods inherited from class org.neuroph.core.learning.IterativeLearning

doOneLearningIteration, getCurrentIteration, getLearningRate, getMaxIterations, hasReachedStopCondition, isIterationsLimited, isPausedLearning, learn, learn, pause, resume, setLearningRate, setMaxIterations

Methods inherited from class org.neuroph.core.learning.LearningRule

addListener, fireLearningEvent, getNeuralNetwork, getTrainingSet, isStopped, onStop, removeListener, setNeuralNetwork, setTrainingSet, stopLearning

Methods inherited from class java.lang.Object

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

Constructor Detail

SupervisedHebbianLearning

public SupervisedHebbianLearning()

Creates new instance of SupervisedHebbianLearning algorithm

Method Detail

calculateWeightChanges

protected void calculateWeightChanges(double[] desiredOutput)

This method implements weight update procedure for the whole network for this learning rule

Overrides:

calculateWeightChanges in class LMS

Parameters:

desiredOutput - desired network output

See Also:

learnPattern

updateNeuronWeights

protected void updateNeuronWeights(Neuron neuron,
                                   double desiredOutput)

This method implements weights update procedure for the single neuron

Parameters:

neuron - neuron to update weights desiredOutput desired output of the neuron