Neural Computing - An Introduction
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A01=R Beale
A01=T Jackson
adaptive resonance theory
artificial intelligence methods
associative
Author_R Beale
Author_T Jackson
brain-inspired algorithms
Category=UYQN
cognitive modelling
computational neuroscience
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
input
memories
multilayer
network
neural information processing systems
pattern
perceptron
self-organising maps
space
vector
weight
Product details
- ISBN 9780852742624
- Weight: 470g
- Dimensions: 156 x 234mm
- Publication Date: 01 Jan 1990
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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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.
R Beale, T Jackson, both Department of Computer Science, Univeraity of York.
