Cellular Automata, Dynamical Systems and Neural Networks

Author:   E. Goles ,  Servet Martínez
Publisher:   Springer
Edition:   Softcover reprint of the original 1st ed. 1994
Volume:   282
ISBN:  

9789048143825


Pages:   192
Publication Date:   05 December 2010
Format:   Paperback
Availability:   Out of stock   Availability explained
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Cellular Automata, Dynamical Systems and Neural Networks


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Overview

This volume contains the lectures given at the Third School on Statistical Physics and Cooperative Systems, Santiago, Chile, in December 1992. All lectures are related to recent interdisciplinary trends in statistical physics: nonlinear phenomena, dynamical systems, ergodic theory, cellular automata, symbolic dynamics, large deviations theory and numeral networks. Each contribution is devoted to one or more of the previous subjects. In most cases they are structured as surveys presenting an original point of view and new results at the same time. For researchers and graduate students interested in statistical physics and theoretical computer science.

Full Product Details

Author:   E. Goles ,  Servet Martínez
Publisher:   Springer
Imprint:   Springer
Edition:   Softcover reprint of the original 1st ed. 1994
Volume:   282
Dimensions:   Width: 15.50cm , Height: 1.00cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9789048143825


ISBN 10:   9048143829
Pages:   192
Publication Date:   05 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Foreword. Cellular Automata and Transducers. A Topological View; F. Blanchard. Automata Network Models of Interacting Populations; N. Boccara. Entropy, Pressure and Large Deviation; A. Lopes. Formal Neural Networks: from Supervised to Unsupervised Learning; J.-P. Nadal. Storage of Correlated Patterns in Neural Networks; P. Pérez.

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