Neural Computing - An Introduction

Front Cover
CRC Press, Jan 1, 1990 - Mathematics - 256 pages
2 Reviews
Neural computing is one of the most interesting and rapidly growing areas of research, attracting researchers from a wide variety of scientific disciplines. Starting from the basics, Neural Computing covers all the major approaches, putting each in perspective in terms of their capabilities, advantages, and disadvantages. The book also highlights the applications of each approach and explores the relationships among models developed and between the brain and its function.

A comprehensive and comprehensible introduction to the subject, this book is ideal for undergraduates in computer science, physicists, communications engineers, workers involved in artificial intelligence, biologists, psychologists, and physiologists.
 

What people are saying - Write a review

User Review - Flag as inappropriate

neural com

Contents

Introduction
1
Pattern Recognition
15
The Basic Neuron
39
The Multilayer Perceptron
63
Kohonen SelfOrganising Networks
107
Hopfield Networks
133
Adaptive Resonance Memory
165
Associative Memory
191
Into the Looking Glass
219
Index
229
Copyright

Other editions - View all

Common terms and phrases

Popular passages

Page 242 - Neural networks are computer models based on the operation of components of the brain. They demonstrate some of the features of intelligent behaviour and are capable of learning.

References to this book

All Book Search results »

Bibliographic information