An Introduction to the Modeling of Neural Networks (Collection Alea-Saclay: Monographs and Texts in Statistical.

Pierre Peretto

Published by Cambridge University Press, 2009
ISBN 10: 0511622791 / ISBN 13: 9780511622793
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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.

Book Description: Focusing on current theoretical models, this graduate-level introduction examines what neural networks can reveal about brain function as well as the implications for psychology, artificial intelligence and computer design.

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Title: An Introduction to the Modeling of Neural ...
Publisher: Cambridge University Press
Publication Date: 2009
Binding: Printed Access Code
Book Condition: Used: Good

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Peretto, Pierre
Published by Cambridge University Press (2009)
ISBN 10: 0511622791 ISBN 13: 9780511622793
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