public class Perceptron extends NeuralNetwork
PerceptronLearning,
BinaryDeltaRule,
SigmoidDeltaRule,
Serialized FormoutputBuffer| Constructor and Description |
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Perceptron(int inputNeuronsCount,
int outputNeuronsCount)
Creates new Perceptron with specified number of neurons in input and
output layer, with Step trqansfer function
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Perceptron(int inputNeuronsCount,
int outputNeuronsCount,
TransferFunctionType transferFunctionType)
Creates new Perceptron with specified number of neurons in input and
output layer, and specified transfer function
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addLayer, addLayer, addListener, addPlugin, calculate, createConnection, createFromFile, createFromFile, fireNetworkEvent, getInputNeurons, getInputsCount, getLabel, getLayerAt, getLayers, getLayersCount, getLearningRule, getNetworkType, getOutput, getOutputLabels, getOutputNeurons, getOutputsCount, getPlugin, getWeights, indexOf, isEmpty, learn, learn, load, load, pauseLearning, randomizeWeights, randomizeWeights, randomizeWeights, randomizeWeights, removeLayer, removeLayerAt, removeListener, removePlugin, reset, resumeLearning, save, setInput, setInputNeurons, setLabel, setLearningRule, setNetworkType, setOutputLabels, setOutputNeurons, setWeights, stopLearning, toStringpublic Perceptron(int inputNeuronsCount,
int outputNeuronsCount)
inputNeuronsCount - number of neurons in input layeroutputNeuronsCount - number of neurons in output layerpublic Perceptron(int inputNeuronsCount,
int outputNeuronsCount,
TransferFunctionType transferFunctionType)
inputNeuronsCount - number of neurons in input layeroutputNeuronsCount - number of neurons in output layertransferFunctionType - transfer function typeCopyright © 2019 Neuroph Project. All rights reserved.