org.neuroph.nnet.learning

Class PerceptronLearning

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.PerceptronLearning

All Implemented Interfaces:

java.io.Serializable

Direct Known Subclasses:

BinaryDeltaRule

public class PerceptronLearning
extends LMS

Perceptron learning rule for perceptron neural networks.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
PerceptronLearning() Creates new PerceptronLearning instance

Method Summary

Modifier and Type	Method and Description
void	calculateWeightChanges(Neuron neuron) This method implements weights update procedure for the single neuron In addition to weights change in LMS it applies change to neuron's threshold

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

doLearningEpoch, getErrorFunction, getMaxError, getMinErrorChange, getMinErrorChangeIterationsCount, getMinErrorChangeIterationsLimit, getPreviousEpochError, getTotalNetworkError, isBatchMode, learn, learn, setBatchMode, setErrorFunction, setMaxError, setMinErrorChange, setMinErrorChangeIterationsLimit

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

PerceptronLearning

public PerceptronLearning()

Creates new PerceptronLearning instance

Method Detail

calculateWeightChanges

public void calculateWeightChanges(Neuron neuron)

This method implements weights update procedure for the single neuron In addition to weights change in LMS it applies change to neuron's threshold

Parameters:

neuron - neuron to update weights

See Also:

LMS.calculateWeightChanges(double[])