org.neuroph.nnet
Class RbfNetwork

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

public class RbfNetwork
extends NeuralNetwork

Radial basis function neural network. TODO: learning for rbf layer: k-means clustering

Author:
Zoran Sevarac
See Also:
Serialized Form

Constructor Summary
RbfNetwork(int inputNeuronsNum, int rbfNeuronsNum, int outputNeuronsNum)
          Creates new RbfNetwork with specified number of neurons in input, rbf and output 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

RbfNetwork

public RbfNetwork(int inputNeuronsNum,
                  int rbfNeuronsNum,
                  int outputNeuronsNum)
Creates new RbfNetwork with specified number of neurons in input, rbf and output layer

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