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...

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Bibliographic Details

Main Author:	Peretto, Pierre (Author)
Format:	Electronic eBook
Language:	English
Published:	Cambridge Cambridge University Press 1992
Series:	Collection Aléa-Saclay : monographs and texts in statistical physics
Subjects:	Neural circuitry Neural networks (Computer science) Nervennetz Neuronales Netz Modell
Online Access:	BSB01 FHN01 Volltext
Summary:	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 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 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
Item Description:	Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Physical Description:	1 online resource (xviii, 473 pages)
ISBN:	9780511622793
DOI:	10.1017/CBO9780511622793