org.neuroph.nnet.learning

Class OutstarLearning

java.lang.Object

org.neuroph.core.learning.LearningRule

org.neuroph.core.learning.IterativeLearning

org.neuroph.core.learning.UnsupervisedLearning

org.neuroph.nnet.learning.UnsupervisedHebbianLearning

org.neuroph.nnet.learning.OutstarLearning

All Implemented Interfaces:

java.io.Serializable

public class OutstarLearning
extends UnsupervisedHebbianLearning

Hebbian-like learning rule for Outstar network.

See Also:

Serialized Form

Constructor Summary

Constructors

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

Method Summary

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

doLearningEpoch

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

OutstarLearning

public OutstarLearning()

Creates new instance of OutstarLearning algorithm