org.encog

Class Test

java.lang.Object

org.encog.Test

public class Test
extends java.lang.Object

XOR: This example is essentially the "Hello World" of neural network programming. This example shows how to construct an Encog neural network to predict the output from the XOR operator. This example uses backpropagation to train the neural network. This example attempts to use a minimum of Encog features to create and train the neural network. This allows you to see exactly what is going on. For a more advanced example, that uses Encog factories, refer to the XORFactory example.

Field Summary

Fields

Modifier and Type	Field and Description
static double[][]	XOR_IDEAL The ideal data necessary for XOR.
static double[][]	XOR_INPUT The input necessary for XOR.

Constructor Summary

Constructors

Constructor and Description
Test()

Method Summary

Modifier and Type	Method and Description
static void	main(java.lang.String[] args) The main method.

Methods inherited from class java.lang.Object

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

Field Detail

XOR_INPUT

public static double[][] XOR_INPUT

The input necessary for XOR.

XOR_IDEAL

public static double[][] XOR_IDEAL

The ideal data necessary for XOR.

Constructor Detail

Test

public Test()

Method Detail

main

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

The main method.

Parameters:

args - No arguments are used.