simbad.piconode.debug
Class Devel

java.lang.Object
  extended by simbad.piconode.debug.Devel

public class Devel
extends java.lang.Object

Author:
nicolas TODO To change the template for this generated type comment go to Window - Preferences - Java - Code Style - Code Templates

Constructor Summary
Devel()
           
 
Method Summary
static void launchExampleOne_InitialisingAndSignalFeedforwarding()
          This example shows how to initialize and use a simple neural network with only feed-forwarding the signal through the net architecture.
static void launchExampleThree_IntialisationAndLearningTheSinusFunction()
          This example shows how to use simple for learning the sinus function with back-propagation and a simple one hidden layer neural network.
static void launchExampleTwo_IntialisationAndLearningTheXorFunction()
          This example shows how to use simple for learning the XOR operator with back-propagation and a simple one hidden layer neural network.
static void main(java.lang.String[] args)
           
static void test()
          This example shows how to use simple for learning the sinus function with back-propagation and a simple one hidden layer neural network.
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

Devel

public Devel()
Method Detail

launchExampleOne_InitialisingAndSignalFeedforwarding

public static void launchExampleOne_InitialisingAndSignalFeedforwarding()
This example shows how to initialize and use a simple neural network with only feed-forwarding the signal through the net architecture.


launchExampleTwo_IntialisationAndLearningTheXorFunction

public static void launchExampleTwo_IntialisationAndLearningTheXorFunction()
This example shows how to use simple for learning the XOR operator with back-propagation and a simple one hidden layer neural network.


launchExampleThree_IntialisationAndLearningTheSinusFunction

public static void launchExampleThree_IntialisationAndLearningTheSinusFunction()
This example shows how to use simple for learning the sinus function with back-propagation and a simple one hidden layer neural network.


test

public static void test()
This example shows how to use simple for learning the sinus function with back-propagation and a simple one hidden layer neural network.


main

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