org.neuroph.samples.segmentChallenge

Class SegmentChallengeSample

java.lang.Object

org.neuroph.samples.segmentChallenge.SegmentChallengeSample

All Implemented Interfaces:

java.util.EventListener, LearningEventListener

public class SegmentChallengeSample
extends java.lang.Object
implements LearningEventListener

Field Summary

Fields

Modifier and Type	Field and Description
int[]	correct
int[]	count

Constructor Summary

Constructors

Constructor and Description
SegmentChallengeSample()

Method Summary

Modifier and Type	Method and Description
java.lang.String	formatDecimalNumber(double number)
java.lang.String	getClasificationClass(int i)
void	handleLearningEvent(LearningEvent event) This method gets executed when LearningRule fires LearningEvent which some class is listening to.
void	keepScore(int prediction, int ideal)
static void	main(java.lang.String[] args)
static int	maxOutput(double[] array)
void	run()
void	testNeuralNetwork(NeuralNetwork neuralNet, DataSet testSet)

Methods inherited from class java.lang.Object

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

Field Detail

count

public int[] count

correct

public int[] correct

Constructor Detail

SegmentChallengeSample

public SegmentChallengeSample()

Method Detail

main

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

Parameters:

args - the command line arguments

run

public void run()

testNeuralNetwork

public void testNeuralNetwork(NeuralNetwork neuralNet,
                              DataSet testSet)

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

maxOutput

public static int maxOutput(double[] array)

keepScore

public void keepScore(int prediction,
                      int ideal)

formatDecimalNumber

public java.lang.String formatDecimalNumber(double number)

getClasificationClass

public java.lang.String getClasificationClass(int i)