org.neuroph.nnet
Class Kohonen

java.lang.Object
  java.util.Observable
      org.neuroph.core.NeuralNetwork
          org.neuroph.nnet.Kohonen

All Implemented Interfaces:

java.io.Serializable, java.lang.Runnable

public class Kohonen
extends NeuralNetwork

Kohonen neural network.

See Also:

Serialized Form

Constructor Summary

Kohonen(int inputNeuronsCount, int outputNeuronsCount)
Creates new Kohonen network with specified number of neurons in input and map layer

Method Summary

Methods inherited from class org.neuroph.core.NeuralNetwork

addLayer, addLayer, addPlugin, calculate, createConnection, getInputNeurons, getLayerAt, getLayers, getLayersCount, getLayersIterator, getLearningRule, getLearningThread, getNetworkType, getOutput, getOutputAsArray, getOutputNeurons, getPlugin, indexOf, initializeWeights, initializeWeights, initializeWeights, 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

addObserver, clearChanged, countObservers, deleteObserver, deleteObservers, hasChanged, notifyObservers, notifyObservers, setChanged

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

Kohonen

public Kohonen(int inputNeuronsCount,
               int outputNeuronsCount)

Creates new Kohonen network with specified number of neurons in input and map layer

Parameters:

inputNeuronsCount - number of neurons in input layer

outputNeuronsCount - number of neurons in output layer