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java.lang.Objectjava.util.Observable
org.neuroph.core.NeuralNetwork
org.neuroph.nnet.SupervisedHebbianNetwork
public class SupervisedHebbianNetwork
Hebbian neural network with supervised Hebbian learning algorithm. In order to work this network needs aditional bias neuron in input layer which is allways 1 in training set!
Constructor Summary | |
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SupervisedHebbianNetwork(int inputNeuronsNum,
int outputNeuronsNum)
Creates an instance of Supervised Hebbian Network net with specified number neurons in input and output layer |
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SupervisedHebbianNetwork(int inputNeuronsNum,
int outputNeuronsNum,
TransferFunctionType transferFunctionType)
Creates an instance of Supervised Hebbian Network with specified number of neurons in input layer and output layer, and transfer function |
Method Summary |
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Methods inherited from class org.neuroph.core.NeuralNetwork |
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addLayer, addLayer, addPlugin, calculate, createConnection, getInputNeurons, getLayerAt, getLayers, getLayersCount, getLayersIterator, getLearningRule, getLearningThread, getNetworkType, getOutput, getOutputAsArray, getOutputNeurons, getPlugin, indexOf, learn, learnInNewThread, learnInNewThread, learnInSameThread, learnInSameThread, load, load, notifyChange, pauseLearning, randomizeWeights, removeLayer, removeLayerAt, removePlugin, reset, resumeLearning, run, save, setInput, setInput, setInputNeurons, setLearningRule, setNetworkType, setOutputNeurons, stopLearning, toString |
Methods inherited from class java.util.Observable |
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addObserver, clearChanged, countObservers, deleteObserver, deleteObservers, hasChanged, notifyObservers, notifyObservers, setChanged |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public SupervisedHebbianNetwork(int inputNeuronsNum, int outputNeuronsNum)
inputNeuronsNum
- number of neurons in input layeroutputNeuronsNum
- number of neurons in output layerpublic SupervisedHebbianNetwork(int inputNeuronsNum, int outputNeuronsNum, TransferFunctionType transferFunctionType)
inputNeuronsNum
- number of neurons in input layeroutputNeuronsNum
- number of neurons in output layertransferFunctionType
- transfer function type id
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