org.neuroph.nnet.learning

Class UnsupervisedHebbianLearning

java.lang.Object

org.neuroph.core.learning.LearningRule

org.neuroph.core.learning.IterativeLearning

org.neuroph.core.learning.UnsupervisedLearning

org.neuroph.nnet.learning.UnsupervisedHebbianLearning

All Implemented Interfaces:

Serializable

Direct Known Subclasses:

AntiHebbianLearning, BinaryHebbianLearning, GeneralizedHebbianLearning, InstarLearning, OjaLearning, OutstarLearning

public class UnsupervisedHebbianLearning
extends UnsupervisedLearning

Unsupervised hebbian learning rule.

Author:

Zoran Sevarac

See Also:

Serialized Form

Field Summary

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
UnsupervisedHebbianLearning() Creates new instance of UnsupervisedHebbianLearning algorithm

Method Summary

Modifier and Type	Method and Description
void	doLearningEpoch(DataSet trainingSet) This method does one learning epoch for the unsupervised learning rules.
protected void	updateNetworkWeights() Adjusts weights for the output neurons
protected void	updateNeuronWeights(Neuron neuron) This method implements weights update procedure for the single neuron

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

learnPattern

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

afterEpoch, beforeEpoch, doOneLearningIteration, getCurrentIteration, getLearningRate, getMaxIterations, hasReachedStopCondition, isIterationsLimited, isPausedLearning, learn, learn, onStart, 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

UnsupervisedHebbianLearning

public UnsupervisedHebbianLearning()

Creates new instance of UnsupervisedHebbianLearning algorithm

Method Detail

doLearningEpoch

public void doLearningEpoch(DataSet trainingSet)

This method does one learning epoch for the unsupervised learning rules. It iterates through the training set and trains network weights for each element. Stops learning after one epoch.

Overrides:

doLearningEpoch in class UnsupervisedLearning

Parameters:

trainingSet - training set for training network

updateNetworkWeights

protected void updateNetworkWeights()

Adjusts weights for the output neurons

Specified by:

updateNetworkWeights in class UnsupervisedLearning

updateNeuronWeights

protected void updateNeuronWeights(Neuron neuron)

This method implements weights update procedure for the single neuron

Parameters:

neuron - neuron to update weights