Neural Computing - An Introduction

by R Beale

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.

Paperback

First published January 1, 1990

Reviews

[Anastasia Tuple]

Too much of algorithms and mathematical explanations for me - sorry, I only skimmed through it. But for someone into IT, maths and the like this book may seem very interesing! It's an old book, though, dating back to 1990; I think there are more modern textbooks nowadays on this subject.

[Alexander Mozeika]

Good introduction to the area, but a basic grasp of linear algebra, calculus and probability theory is required.

[Nilendu Misra]

Most literature on Neural Network is either way too mathematical, or too dumbed down for potential HBR readers looking for buzzwords. This is by far the best book that can be ingested easily within days with a fairly good set of insights into the strengths and applicabilities of ANN.

[Ali Frz]

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