org.neuroph.samples

Class XorMultiLayerPerceptronSample

java.lang.Object

org.neuroph.samples.XorMultiLayerPerceptronSample

All Implemented Interfaces:

java.util.EventListener, LearningEventListener

public class XorMultiLayerPerceptronSample
extends java.lang.Object
implements LearningEventListener

This sample shows how to create, train, save and load simple Multi Layer Perceptron for the XOR problem. This sample shows basics of Neuroph API.

Constructor Summary

Constructors

Constructor and Description
XorMultiLayerPerceptronSample()

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 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

XorMultiLayerPerceptronSample

public XorMultiLayerPerceptronSample()

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 the each element from the specified training set.

Parameters:

neuralNet - neural network

testSet - test 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