This directory contains XORMemory.java, an example of neural network learning
using Joone. To compile and run the example, you need the following commands:

Compile: javac -classpath joone-engine.jar:log4j.jar:. XORMemory.java
Run: java -classpath joone-engine.jar:log4j.jar:. XORMemory

The file xor.txt contains the definition of XOR:

0.0;0.0;0.0
0.0;1.0;1.0
1.0;0.0;1.0
1.0;1.0;0.0

You can modify this file and get XORMemory to learn different
functions.

Look at XORMemory.java to see how the XOR network is 
setup.  Try modifying the network (more or fewer hidden
elements, more training cycles) to experiment with different
XOR networks.

See page 473 of the Luger text for an XOR with 1 hidden element.