Neuroph

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

The Kohonen class represents Kohonen neural network.

See Also:
Serialized Form

Field Summary
private static long serialVersionUID
          The class fingerprint that is set to indicate serialization compatibility with a previous version of the class.
 
Constructor Summary
Kohonen(int inputNeuronsNum, int outputNeuronsNum)
          Creates new Kohonen network with specified number of neurons in input and map layer
 
Method Summary
private  void createNetwork(int inputNeuronsNum, int outputNeuronsNum)
          Creates Kohonen network architecture with specified number of neurons in input and map layer
 
Methods inherited from class org.neuroph.core.NeuralNetwork
addLayer, addLayer, addPlugin, calculate, createConnection, getInputNeurons, getLayerAt, getLayers, getLayersCount, getLayersIterator, getLearningRule, getNetworkType, getOutput, getOutputNeurons, getPlugin, indexOf, learn, load, notifyChange, randomizeWeights, removeLayer, removeLayerAt, removePlugin, reset, run, save, 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
 

Field Detail

serialVersionUID

private static final long serialVersionUID
The class fingerprint that is set to indicate serialization compatibility with a previous version of the class.

See Also:
Constant Field Values
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
Method Detail

createNetwork

private void createNetwork(int inputNeuronsNum,
                           int outputNeuronsNum)
Creates Kohonen network architecture with specified number of neurons in input and map layer

Parameters:
inputNeurons - number of neurons in input layer
outputNeurons - number of neurons in output layer

Neuroph