webmaster: Sven F. Crone
Centre for Forecasting Lancaster University Management School Lancaster LA1 4YF United Kingdom Tel +44.1524.592991 Fax +44.1524.844885 eMail sven dot crone (at) neuralforecasting dot com  
The society for ANN in Medicine and Biology 
A collection of links to people and organisations
working with medical applications of artificial neural
networks and related techniques. 
http://www.phil.gu.se/ann/main.html 
The Kernel Machines 
A Site dedicated to Kernel Machines and related methods.
But also Gaussian Process prediction, Mathematical
Programming with Kernels, Regularization Networks and
Reproducing Kernel Hilbert Spaces. 
http://www.kernelmachines.org/ 
Information on over 50 NN applications 
BrainMaker Neural Network Software: Great list of
examples of specific NN applications regarding stocks,
business, medicine, and manufacturing. 
http://www.calsci.com/Applications.html 
Neural Networks Tutorial with Java Applets 
This site includes a series of exercises and demos. Each
exercise consists of a short introduction, a small
demonstration program written in Java (Java Applet), and
a series of questions which are intended as an
invitation to play with the programs and explore the
possibilities of different algorithms. 
http://diwww.epfl.ch/mantra/tutorial/english/ 
Neural Networks Introduction 
NEURAL NETWORK DESIGN provides a clear and detailed
survey of fundamental neural network architectures and
learning rules. In it, the authors emphasize
mathematical analysis of networks, methods for training
networks, and application of networks to practical
engineering problems in pattern recognition, signal
processing, and control systems. 
http://hagan.ecen.ceat.okstate.edu/nnd.html 
Neural Networks & AI for Gaming 
Jay Scott resources site for Machine Learning for
Gaming. He describes game programs and their workings;
they rely on heuristic search algorithms, neural
networks, genetic algorithms, temporal differences, and
other methods.

http://satirist.org/learngame/index.html 
SharpNEAT (C# implementation of NEAT) 
NEAT is a technique for evolving neural net structure
and connection weights, SharpNEAT is one of a number of
implementations but happens to be written in C# 
http://www.cgreen.dsl.pipex.com/ 
NEOXI Neural Network Resources 
Content: Professionally selected extensive collection of
neural network resources.
Audience: Communities of commerce, industry, academics,
engineers, practitioners, and individuals interested in
neural networks, machine learning, data mining,
artificial intelligence, softcomputing, and numerous
other fields directly or indirectly utilizing the neural
network technology. 
http://www.neoxi.com 

Web Applets for Interactive Tutorials on Artificial
Neural Learning. 
By
Fred Corbett. "This tutorial was developed as part of my
undergraduate thesis in Computer Engineering at the
University of Manitoba, and was supervised by Dr. H. C.
Card. The goal of this project was to demonstrate some
elementary aspects of artificial neural networks (ANNs)
in an interactive and, hopefully, interesting manner.
... This tutorial is currently divided into three
sections [Artificial Neuron, Perceptron Learning, and
MultiLayer Perceptron]. Each section deals with a
specific aspect of neural networks and includes a Java^{TM}
applet. The sections include a brief introduction, some
theory behind the applet, a set of instructions for
using the applet, the source code, and the applet itself." 

http://neuralnetworks.aidepot.com 

