public class PerceptronLearning extends LMS
maxError, previousEpochErrorcurrentIteration, learningRate, stopConditionslisteners, neuralNetwork, trainingSet| Constructor and Description |
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PerceptronLearning()
Creates new PerceptronLearning instance
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| Modifier and Type | Method and Description |
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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
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calculateWeightChangesafterEpoch, beforeEpoch, doBatchWeightsUpdate, doLearningEpoch, getErrorFunction, getMaxError, getMinErrorChange, getMinErrorChangeIterationsCount, getMinErrorChangeIterationsLimit, getPreviousEpochError, getTotalNetworkError, isBatchMode, learn, learn, learnPattern, onStart, setBatchMode, setErrorFunction, setMaxError, setMinErrorChange, setMinErrorChangeIterationsLimitdoOneLearningIteration, getCurrentIteration, getLearningRate, getMaxIterations, hasReachedStopCondition, isIterationsLimited, isPausedLearning, learn, learn, pause, resume, setLearningRate, setMaxIterationsaddListener, fireLearningEvent, getNeuralNetwork, getTrainingSet, isStopped, onStop, removeListener, setNeuralNetwork, setTrainingSet, stopLearningpublic PerceptronLearning()
public void calculateWeightChanges(Neuron neuron)
calculateWeightChanges in class LMSneuron - neuron to update weightsLMS.calculateWeightChanges(double[])Copyright © 2019 Neuroph Project. All rights reserved.