MultipleValidationSample

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org.joone.samples.engine.validation
Class MultipleValidationSample

java.lang.Object
  org.joone.samples.engine.validation.MultipleValidationSample

All Implemented Interfaces:: java.util.EventListener, org.joone.net.NeuralValidationListener

public class MultipleValidationSample
extends java.lang.Object
implements org.joone.net.NeuralValidationListener

This example shows how to check the training level of a neural network using a validation data source. The training and the validation phases of the created network is executed many times, showing for each one the resulting RMSE. This program shows how to build the same kind of neural net as that contained into the org/joone/samples/editor/scripting/ValidationSample.ser file using only java code and the core engine's API. Open that net in the GUI editor to see the architecture of the net built in this example.

Field Summary

private static long fSLEEP_INTERVAL


(package private) double minRMSE


(package private) long mStart


(package private) org.joone.net.NeuralNet nnet


(package private) boolean ready


(package private) int returnedNets


(package private) int totCycles


(package private) int totNets


(package private) double totRMSE


(package private) int trainingLCP


(package private) int validationLCP


(package private) java.io.FileWriter wr


(package private) java.lang.String xorNet


Constructor Summary

MultipleValidationSample()
          Creates a new instance of SampleScript

Method Summary

private static void collectGarbage()


private double[][] constructLearningData(int learningPatternNumber)
          Constructs the network Learning Data based on the GUI options - Class Method

private double[][] constructTestData(int testPatternNumber)
          Constructs the network Test Data based on the GUI options - Class Method

private void displayResults()


private static long getMemoryUse()


private org.joone.net.NeuralNet initializeModularParity(int learningPatternNumber, int testPatternNumber)


private org.joone.net.NeuralNet initializeNetworkI(int learningPatternNumber, int testPatternNumber)
          Initializes the EETNN Neural Network I - Class Method

private org.joone.net.NeuralNet initializeSimpleParity(int learningPatternNumber, int testPatternNumber)
          Configures & Starts the SimpleParity Network - Class Method

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


void netValidated(org.joone.net.NeuralValidationEvent event)


private void start()


private void startValidation(int trnP, int valP)


private void test(int n)


Methods inherited from class java.lang.Object

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

Field Detail

nnet

org.joone.net.NeuralNet nnet

ready

boolean ready

totNets

int totNets

returnedNets

int returnedNets

totRMSE

double totRMSE

minRMSE

double minRMSE

mStart

long mStart

trainingLCP

int trainingLCP

validationLCP

int validationLCP

totCycles

int totCycles

wr

java.io.FileWriter wr

xorNet

java.lang.String xorNet

fSLEEP_INTERVAL

private static long fSLEEP_INTERVAL

Constructor Detail