jhpro.nnet.jknnl

Class WTALearningFunctionWithTired

java.lang.Object

jhpro.nnet.jknnl.WTALearningFunction

jhpro.nnet.jknnl.WTALearningFunctionWithTired

public class WTALearningFunctionWithTired
extends WTALearningFunction

WTALearningFunctionWithTired class - learning class used to learn neurons with tiredness

Constructor Summary

Constructors

Constructor and Description
WTALearningFunctionWithTired(NetworkModel networkModel, int maxIteration, MetricModel metrics, LearningDataModel learningData, LearningFactorFunctionalModel functionalModel) Creates a new instance of WTALearningFunction.

Method Summary

Modifier and Type	Method and Description
int	getBestNeuron(double[] vector) Return number of the best neuron for specified input vector.

Methods inherited from class jhpro.nnet.jknnl.WTALearningFunction

getFunctionalModel, getLearningData, getMaxIteration, getMetrics, getNetworkModel, isShowComments, learn, setFunctionalModel, setLearningData, setMaxIteration, setMetrics, setNetworkModel, setShowComments

Methods inherited from class java.lang.Object

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

Constructor Detail

WTALearningFunctionWithTired

public WTALearningFunctionWithTired(NetworkModel networkModel,
                                    int maxIteration,
                                    MetricModel metrics,
                                    LearningDataModel learningData,
                                    LearningFactorFunctionalModel functionalModel)

Creates a new instance of WTALearningFunction.

Parameters:

networkModel - network model

maxIteration - iteration number

metrics - metrics

learningData - learnig data

functionalModel - functional model

See Also:

MetricModel, LearningData, NetworkModel, LearningFactorFunctionalModel

Method Detail

getBestNeuron

public int getBestNeuron(double[] vector)

Return number of the best neuron for specified input vector. All neuron's tiredness is increasing

Overrides:

getBestNeuron in class WTALearningFunction

Parameters:

vector - input vector

Returns:

Neuron number