org.neuroph.nnet
Class Kohonen

java.lang.Object
  extended by java.util.Observable
      extended by org.neuroph.core.NeuralNetwork
          extended by org.neuroph.nnet.Kohonen
All Implemented Interfaces:
java.io.Serializable, java.lang.Runnable

public class Kohonen
extends NeuralNetwork

Kohonen neural network.

Author:
Zoran Sevarac
See Also:
Serialized Form

Constructor Summary
Kohonen(int inputNeuronsNum, int outputNeuronsNum)
          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, 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 inputNeuronsNum,
               int outputNeuronsNum)
Creates new Kohonen network with specified number of neurons in input and map layer

Parameters:
inputNeuronsNum - number of neurons in input layer
outputNeuronsNum - number of neurons in output layer