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English
Institute of Physics Publishing
01 January 1990
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.

By:   , , ,
Imprint:   Institute of Physics Publishing
Country of Publication:   United Kingdom
Dimensions:   Height: 234mm,  Width: 156mm,  Spine: 13mm
Weight:   470g
ISBN:   9780852742624
ISBN 10:   0852742622
Pages:   256
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Professional & Vocational ,  A / AS level ,  Further / Higher Education
Format:   Paperback
Publisher's Status:   Active
Introduction. Pattern recognition. The basic neuron. The multi-layer perceptron. Kohonen self-organizing networks. Hopfield networks. Adaptive resonance theory. Associative memory. Into the looking glass. Index.

R Beale, T Jackson

Reviews for Neural Computing - An Introduction

"""Neural Computing is easy on the eye with a good layout and use of graphical icons to draw attention to mathematical proofs, algorithms (in clear format, which would lend itself to computer implementation), and summary sections."" -Denise Gorse, Times Higher Education Supplement ""… most accessible. … I was most impressed with the quality of this book. … hard pressed to beat …"" -David Williams, The Australian Computer Journal ""It is clear that any introductory book must explain what the leaders of the current revival have done. This is well done by Beale and Jackson."" -Igor Aleksander, Imperial College of Science, Technology and Medicine, London, UK"


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