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:

java.io.Serializable

Direct Known Subclasses:

AntiHebbianLearning, BinaryHebbianLearning, GeneralizedHebbianLearning, InstarLearning, OjaLearning, OutstarLearning

public class UnsupervisedHebbianLearning
extends UnsupervisedLearning

Unsupervised hebbian learning rule.

See Also:

Serialized Form

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.

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

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

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

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

Methods inherited from class java.lang.Object

equals, 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