Documentation of 'org.encog.Test' Java class
Test
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org.encog

Class 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

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

      • Methods inherited from class java.lang.Object

        equals, 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.
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