An introduction to the modeling of neural networks /
General Material Designation
[Book]
First Statement of Responsibility
Pierre Peretto.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York :
Name of Publisher, Distributor, etc.
Cambridge University Press,
Date of Publication, Distribution, etc.
1992.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xviii, 473 pages :
Other Physical Details
illustrations ;
Dimensions
24 cm.
SERIES
Series Title
Collection Aléa-Saclay ;
Series Title
Monographs and texts in statistical physics ;
Volume Designation
2
Volume Designation
2
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references (pages 421-466) and index.
SUMMARY OR ABSTRACT
Text of Note
"This text is a beginning graduate-level introduction to neural networks, focussing 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 simulate 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 part 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."--Jacket.