An Introduction to the Modeling of Neural Networks (Paperback, New)

This text is a graduate-level introduction to neural networks, focusing on current theoretical models, examining what these models can reveal about how the brain functions, and discussing the ramifications for psychology, artificial intelligence, and the construction of a new generation of intelligent computers. The book is divided into four parts. The first part gives an account of the anatomy of the central nervous system, followed by a brief introduction to neurophysiology. The second part is devoted to the dynamics of neuronal states, and demonstrates how very simple models may stimulate associative memory. The third part of the book discusses models of learning, including detailed discussions on the limits of memory storage, methods of learning and their associated models, associativity, and error correction. The final section of the book reviews possible applications of neural networks in artificial intelligence, expert systems, optimization problems, and the construction of actual neuronal supercomputers, with the potential for one-hundred fold increase in speed over contemporary serial machines.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Series:	Collection Alea-Saclay: Monographs and Texts in Statistical Physics
Release date:	October 1992
First published:	1992
Authors:	Pierre Peretto
Dimensions:	228 x 150 x 26mm (L x W x T)
Format:	Paperback - Trade
Pages:	492
Edition:	New
ISBN-13:	978-0-521-42487-5
Categories:	Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Books > Science & Mathematics > Biology, life sciences > Zoology & animal sciences > Animal physiology Promotions
LSN:	0-521-42487-9
Barcode:	9780521424875

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