org.neuroph.nnet

Class CompetitiveNetwork

java.lang.Object

org.neuroph.core.NeuralNetwork

org.neuroph.nnet.CompetitiveNetwork

All Implemented Interfaces:

java.io.Serializable

public class CompetitiveNetwork
extends NeuralNetwork

Two layer neural network with competitive learning rule.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
CompetitiveNetwork(int inputNeuronsCount, int outputNeuronsCount) Creates new competitive network with specified neuron number

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

CompetitiveNetwork

public CompetitiveNetwork(int inputNeuronsCount,
                          int outputNeuronsCount)

Creates new competitive network with specified neuron number

Parameters:

inputNeuronsCount - number of input neurons

outputNeuronsCount - number of output neurons