org.neuroph.samples

Class RBFClassificationSample

java.lang.Object

org.neuroph.samples.RBFClassificationSample

All Implemented Interfaces:

java.util.EventListener, LearningEventListener

public class RBFClassificationSample
extends java.lang.Object
implements LearningEventListener

TODO: use k-nearest neighbour to tweak sigma

Constructor Summary

Constructors

Constructor and Description
RBFClassificationSample()

Method Summary

Modifier and Type	Method and Description
void	handleLearningEvent(LearningEvent event) This method gets executed when LearningRule fires LearningEvent which some class is listening to.
static void	main(java.lang.String[] args) Runs this sample
void	run()
void	testNeuralNetwork(NeuralNetwork neuralNet, DataSet testSet) Prints network output for the each element from the specified training set.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

RBFClassificationSample

public RBFClassificationSample()

Method Detail

main

public static void main(java.lang.String[] args)

Runs this sample

run

public void run()

testNeuralNetwork

public void testNeuralNetwork(NeuralNetwork neuralNet,
                              DataSet testSet)

Prints network output for the each element from the specified training set.

Parameters:

neuralNet - neural network

testSet - test data set

handleLearningEvent

public void handleLearningEvent(LearningEvent event)

Description copied from interface: LearningEventListener

This method gets executed when LearningRule fires LearningEvent which some class is listening to. For example, if you want to print current iteration, error etc.

Specified by:

handleLearningEvent in interface LearningEventListener

Parameters:

event - holds the information about event tha occured