Cellular Automata, Dynamical Systems and Neural Networks

Author:   E. Goles ,  Servet Martínez
Publisher:   Springer
Edition:   1994 ed.
Volume:   282
ISBN:  

9780792327721


Pages:   192
Publication Date:   31 March 1994
Format:   Hardback
Availability:   In Print   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, including nonlinear phenomena, dynamical systems, ergodic theory, cellular automata, symbolic dynamics, large deviations theory and neural 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. This volume should be of interest to 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:   1994 ed.
Volume:   282
Dimensions:   Width: 15.50cm , Height: 1.20cm , Length: 23.50cm
Weight:   1.030kg
ISBN:  

9780792327721


ISBN 10:   0792327721
Pages:   192
Publication Date:   31 March 1994
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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