org.neuroph.samples

Class XorResilientPropagationSample

java.lang.Object

org.neuroph.samples.XorResilientPropagationSample

All Implemented Interfaces:

java.util.EventListener, LearningEventListener

public class XorResilientPropagationSample
extends java.lang.Object
implements LearningEventListener

This sample trains Multi Layer Perceptron network using Resilient Propagation learning rule for the XOR problem.

Constructor Summary

Constructors

Constructor and Description
XorResilientPropagationSample()

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)
void	run() Runs this sample
static void	testNeuralNetwork(NeuralNetwork neuralNet, DataSet testSet) Prints network output for 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

XorResilientPropagationSample

public XorResilientPropagationSample()

Method Detail

main

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

run

public void run()

Runs this sample

testNeuralNetwork

public static void testNeuralNetwork(NeuralNetwork neuralNet,
                                     DataSet testSet)

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

Parameters:

neuralNet - neural network

trainingSet - training 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