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Neural Networks Tutorial with Java Applets Introduction Neural Java is 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. The aim of the applets is to illustrate the dynamics of different artificial neural networks. Emphasis has been put on visualization and interactive interfaces.
Neural Java
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An Introduction to Neural Networks
Prof. Leslie Smith Centre for Cognitive and Computational Neuroscience Department of Computing and Mathematics University of Stirling. lss@cs.stir.ac.uk last major update: 25 October 1996: minor update 22 April 1998 and 12 Sept 2001: links updated (they were out of date) 12 Sept 2001; fix to math font (thanks Sietse Brouwer) 2 April 2003 This document is a roughly HTML-ised version of a talk given at the NSYN meeting in Edinburgh, Scotland, on 28 February 1996, then updated a few times in response to comments received. Please email me comments, but remember that this was originally just the slides from an introductory talk! Why would anyone want a `new' sort of computer?
Neural Network Library project in C# home page
Welcome to my Neural Network project home page. You can find here the first version of a .NET neural network library and it's API documentation. This library was developed in C# as a .NET class library. I've also written a graphical interface to design neural networks and a few demos. I'm using neural network to perform face detection and recognisation on images, It's not fully functional at the moment but you can find more on my face detection page . If you have any problem, remark or suggestion e-mail me .Java Applets for Neural Network and Artificial Life
(To Japanese version) Artificial Neural Networks Lab Contents Competitive Learning Vector Quantizer (VQ) Related to hard competitive learning.
Contents Review The interest in artificial neural nets considerably increased in recent years. Internet contains a lot of materials about neural nets. They are various FAQs, books' ads, articles, etc.