org.neuroph.nnet

Class SupervisedHebbianNetwork

java.lang.Object

org.neuroph.core.NeuralNetwork

org.neuroph.nnet.SupervisedHebbianNetwork

All Implemented Interfaces:

java.io.Serializable

public class SupervisedHebbianNetwork
extends NeuralNetwork

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!

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
SupervisedHebbianNetwork(int inputNeuronsNum, int outputNeuronsNum) Creates an instance of Supervised Hebbian Network net with specified number neurons in input and output layer
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

Methods inherited from class org.neuroph.core.NeuralNetwork

addLayer, addLayer, addListener, addPlugin, calculate, createConnection, createFromFile, createFromFile, fireNetworkEvent, getInputNeurons, getInputsCount, getLabel, getLayerAt, getLayers, getLayersCount, getLearningRule, getNetworkType, getOutput, 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, toString

Methods inherited from class java.lang.Object

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

Constructor Detail

SupervisedHebbianNetwork

public SupervisedHebbianNetwork(int inputNeuronsNum,
                                int outputNeuronsNum)

Creates an instance of Supervised Hebbian Network net with specified number neurons in input and output layer

Parameters:

inputNeuronsNum - number of neurons in input layer

outputNeuronsNum - number of neurons in output layer

SupervisedHebbianNetwork

public 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

Parameters:

inputNeuronsNum - number of neurons in input layer

outputNeuronsNum - number of neurons in output layer

transferFunctionType - transfer function type id