9780521414517 - an introduction to the modeling of neural networks (collection alea - saclay : monographs and texts in statistical physics, no 2) von peretto, pierre; pierre, peretto (4 Ergebnisse)
- Hardcover
Anbieter: Labyrinth Books, Princeton, NJ, USALabyrinth Books
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Zustand: Very Good.
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 201,60
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Zustand: New. In.
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Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore
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EUR 268,48
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Zustand: New. This book is a beginning graduate-level introduction to neural networks which is divided into four parts. Series Editor(s): Godrche, C. Series: Collection Alea-Saclay: Monographs and Texts in Statistical Physics. Num Pages: 492 pages, diagrams. BIC Classification: PHS; PSVD. Category: (P) Professional & Vocational.… Dimension: 228 x 152 x 32. Weight in Grams: 890. . 1992. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
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Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 259,80
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
