An Introduction to the Modeling of Neural Networks (Collection Alea - Saclay: Monographs in Statistical Physics),

PERETTO, Pierre,

ISBN 10: 0521424879 / ISBN 13: 9780521424875

Published by Cambridge Univ Press, 1992,, 1992

About this Item

Pbk 473pp slight shelfwear to covers CUP rem mark on title page otherwise an unread copy excellent clean tight unmarked as new.

Seller Inventory # HPS531-B

Bibliographic Details

• Title: An Introduction to the Modeling of Neural Networks (Collection Alea - Saclay: Monographs in Statistical Physics),
• Publisher: Cambridge Univ Press, 1992,
• Publication Date: 1992
• Language: English
• ISBN 10: 0521424879
• ISBN 13: 9780521424875
• Binding: Soft cover
• Condition: Fine

About this title

Synopsis

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.

From the Back Cover

This text is a beginning 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.