| Java MLP Backprop Code
|
Update Link / Bad Link? |
|
Get a quick start to coding your first neural network with this code for a multilayer percepron trained with the backpropagation learning algorithm.
Submitted Jun 20, 2002
Rating:
(4 Ratings)
Rate this link
Total Visits: 1349
|
| Java Neural Network Software Available
|
Update Link / Bad Link? |
|
This is to announce the availability of a Java implementation of the following algorithms and neural network models:
* Hard Competitive Learning (standard algorithm) * Neural Gas (Martinetz and Schulten 1991) ... The software can be accessed at http://www.neuroinformatik.ruhr-uni-bochum.de/ini/VDM/research/gsn/DemoGNG/GNG.html where it is embedded as Java applet into a Web page and is downloaded for immediate execution when you visit this page (if you have a slow link or only ftp access, please see below).
Submitted Dec 01, 1999
Rating:
(2 Ratings)
Rate this link
Total Visits: 787
|
| Multi-Layer Perceptron
|
Update Link / Bad Link? |
|
This is a multi-layer perceptron applet.
Submitted Nov 07, 1999
Updated Nov 15, 2004
Rating:
(1 Ratings)
Rate this link
Total Visits: 672
|
| Neural Net Components in an Object Oriented Class Structure
|
Update Link / Bad Link? |
|
Neural Net Components in an Object Oriented Class Structure: The classes are all written in Java (JDK Version 1.0.2) and contain components of the Backpropagation Net and the Kohonen Feature Map neural network types.
Submitted Nov 21, 1999
Rating:
(1 Ratings)
Rate this link
Total Visits: 494
|
| Perceptron Learning
|
Update Link / Bad Link? |
|
This applet demonstrates a simple form of supervised learning entitled the perceptron learning algorithm. Using this applet, you can train the perceptron to act as a binary logic unit. It can compute or approximate most 2-input Boolean functions.
Submitted Nov 07, 1999
Updated Nov 15, 2004
Rating:
N/A
Rate this link
Total Visits: 280
|
| SOM: Self-Organizing Maps
|
Update Link / Bad Link? |
|
Java applet, implements several methods related to competitive learning. It is possible to experiment with the methods using various data distributions and observe the learning process. A common terminology is used to make it easy to compare one method to the other.
Submitted Nov 07, 1999
Rating:
N/A
Rate this link
Total Visits: 260
|
| Neural Nets for Control
|
Update Link / Bad Link? |
|
Consider the problem of balancing a ball on an adjustable beam as shown in Figure 4. The ball starts with an initial position and initial velocity, and we require the ball to be brought to a rest at the center of the beam by dynamically adjusting the angle of the beam. This problem is a classic regulator-type control problem and is precisely posed as: Given any initial condition, what is an appropriate control signal, which can produce the desired final state? A neural net can be trained to learn such a control by observing the actions of a skilled human operator...
The given applet demonstrates the Ball Balancing Problem.
Submitted Nov 07, 1999
Rating:
N/A
Rate this link
Total Visits: 178
|
| Learning of Function Approximation
|
Update Link / Bad Link? |
|
The following applet can be used to experiment with backprop learning for function approximation problems.
Submitted Nov 07, 1999
Rating:
N/A
Rate this link
Total Visits: 167
|
| Perceptron Learning Rule (CNNL)
|
Update Link / Bad Link? |
|
This program applies the perceptron learning rule to generate a separating surface for a two class problem (classes X and O). The X's are represented by a Red Box while the O's are represented by a Purple Box.
Submitted Nov 07, 1999
Rating:
N/A
Rate this link
Total Visits: 136
|
| Principal Component Extraction via Various Hebbian-Type Rules (CNNL)
|
Update Link / Bad Link? |
|
This applet implements three different learning rules for extracting the major principal component for an arbitrary zero-mean distribution. These rules are Normalized Hebbian rule, Oja's rule, and Yullie et al rule as discribed by Equations (3.3.5), (3.3.6), and (3.3.7) on page 92 in Mohamad Hassoun's textbook.
Submitted Nov 07, 1999
Rating:
(1 Ratings)
Rate this link
Total Visits: 131
|
| Temporal Difference Learning Project
|
Update Link / Bad Link? |
|
Java sources for TD learning applets of Tic Tac Toe and random walk.
Rating:
N/A
Rate this link
Total Visits: 124
|
| Clustering via Simple Competitive Learning (CNNL)
|
Update Link / Bad Link? |
|
This is a program that impliments the simple competitive learning process as described on page 103 in M. Hassoun, Fundementals of Artificial Neural Networks.
Submitted Nov 07, 1999
Rating:
N/A
Rate this link
Total Visits: 122
|
| 2 Dimensional Linear Dynamical Systems (CNNL)
|
Update Link / Bad Link? |
|
This page contains a java program that starts an applet which plots 2D Time Dynamical functions.
Submitted Nov 07, 1999
Rating:
N/A
Rate this link
Total Visits: 74
|
| Terms of Use: |
|
| NOTICE: Links you submit to Mathtools.net Link Exchange will
be accessible from any part of the world via the web. Any information such
links contain may be used by The MathWorks and the public, both within
and outside the country from which you posted. Read
complete disclaimer prior to use. |
Update a Link
Recent Links 
Newsletter 
My Profile 
Link
To Us