 
60% Savings on SHARC Processor Development Tools
For a limited time, you can purchase a SHARC development tools bundle at a 60% savings.
The bundle includes VisualDSP++ Development Software and the High Performance USB-based Emulator.
Click
here
for purchasing details.
| |
-
overview
-
An Introduction to Neural Networks
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!
preview:
http://www.cs.stir.ac.uk
date: 2/28/1996
-
overview
-
Bayesian methods for neural networks - FAQ
FAQ * Bayesian Interpolation * Bayesian Methods for Backprop Networks, including classification * Objective functions for data selection * General * Practical
preview:
http://www.inference.phy.cam.ac.uk
-
overview
-
Crash Introduction to Artificial Neural Networks
Brief look into Artificial Neural Networks.
preview:
http://ulcar.uml.edu
-
overview
-
Neural Network FAQ
This is the first of seven parts of a monthly posting to the Usenet newsgroup comp.ai.neural-nets (as well as comp.answers and news.answers, where it should be findable at any time). Its purpose is to provide basic information for individuals who are new to the field of neural networks or who are just beginning to read this group
preview:
ftp://ftp.sas.com
date: 5/17/2002
-
overview
-
Neural Networks
This report is an introduction to Artificial Neural Networks.
The various types of neural networks are explained and demonstrated, applications of neural networks like ANNs in medicine are described, and a detailed historical background is provided.
The connection between the artificial and the real thing is also investigated and explained.
Finally, the mathematical models involved are presented and demonstrated.
preview:
http://www.doc.ic.ac.uk
 |
