Fundamentals of Neural Networks: Architectures, Algorithms And Applications / Edition 1

by Laurene V Fausett

Overview

Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptive-resonance theory; and more. For professionals working with neural networks.

Product Details

ISBN-13:	9780133341867
Publisher:	Pearson
Publication date:	12/23/1993
Edition description:	New Edition
Pages:	480
Product dimensions:	7.00(w) x 8.90(h) x 1.10(d)

Table of Contents

1. Introduction.


2. Simple Neural Nets for Pattern Classification.


3. Pattern Association.


4. Neural Networks Based on Competition.


5. Adaptive Resonance Theory.


6. Backpropagation Neural Net.


7. A Sampler of Other Neural Nets.


Glossary.


References.


Index.