code
Get flash to fully experience Pearltrees
emergence
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. The Java Applets are not intended for and not useful for large-scale applications! Users interested in application programs should use other simulators .
Neural Java
'The more I use your software the more cool it becomes. I like how easy it is to use from the start, now it is almost automatic. I've tried just about every NN package out there and they all seem more interested in eye candy and making it seem scientific. So much so that getting the stuff to run is about impossible.
Tiberius
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last major update: 25 October 1996: minor update 22 April 1998 and 12 Sept 2001: links updated (they were really out of date) 12 Sept 2001; fix to math font (thanks Sietse Brouwer) 2 April 2003 This document is a roughly HTML-ised version of a talk given at the NSYN meeting in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
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 .Java Applets for Neural Network and Artificial Life
SOM as a statistical model. Learning is regarded as an estimation algorithm for its parameters. Hyperparameters also are estimated. Ultimately a probability densty function for data is estimated.
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. For example, FAQ of comp.ai.neural-nets newsgroup resides on ftp://ftp.sas.com/pub/neural/FAQ.html
ABC++ of Neural Nets
Artificial Intelligence and Neural Networks
I though it was easy to maintain a site because the site would attacked only people with brains... (and it is the case apparently). But I realized that I have received a lot of external information for a lot of non-intellectual purpose... That starts to work on my nerves and get heavy on me. Nevertheless I have decided to slowly to respawn the site and make it live again - a new design will have to come although (I am working on it ;-))
Fast Artificial Neural Network Library (FANN)
Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read introduction article and a reference manual accompanies the library with examples and recommendations on how to use the library.MLP or RBF learning to clusterize GPS data Hi, i have a lot of GPS records (coordinates) and i need to clusterize them, because, few records can tell about the same place (coordinates are just slightly different). My problem is, that i am total noob in neural networks and i have to do it fast.
