org.neuroph.nnet

Class MaxNet

java.lang.Object

org.neuroph.core.NeuralNetwork

org.neuroph.nnet.MaxNet

All Implemented Interfaces:

java.io.Serializable

public class MaxNet
extends NeuralNetwork

Max Net neural network with competitive learning rule.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
MaxNet(int neuronsCount) Creates new Maxnet 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

MaxNet

public MaxNet(int neuronsCount)

Creates new Maxnet network with specified neuron number

Parameters:

neuronsCount - number of neurons in MaxNet network (same number in input and output layer)