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＜電子ブック＞
Cellular Automata, Dynamical Systems and Neural Networks / edited by E. Goles, Servet Martínez
(Mathematics and Its Applications ; 282)

版	1st ed. 1994.
出版者	(Dordrecht : Springer Netherlands : Imprint: Springer)
出版年	1994
本文言語	英語
大きさ	VIII, 192 p : online resource
著者標目	Goles, E editor Martínez, Servet editor SpringerLink (Online service)
件　名	LCSH:System theory LCSH:Computer science LCSH:Computer science -- Mathematics  全ての件名で検索 LCSH:Discrete mathematics LCSH:Mathematical physics FREE:Complex Systems FREE:Theory of Computation FREE:Discrete Mathematics in Computer Science FREE:Theoretical, Mathematical and Computational Physics
一般注記	Cellular Automata and Transducers. A Topological View -- Automata Network Models of Interacting Populations -- Entropy, Pressure and Large Deviation -- Formal Neural Networks: from Supervised to Unsupervised Learning -- Storage of Correlated Patterns in Neural Networks This book contains the courses given at the Third School on Statistical Physics and Cooperative Systems held at Santiago, Chile, from 14th to 18th December 1992. The main idea of this periodic school was to bring together scientists work­ with recent trends in Statistical Physics. More precisely ing on subjects related related with non linear phenomena, dynamical systems, ergodic theory, cellular au­ tomata, symbolic dynamics, large deviation theory and neural networks. Scientists working in these subjects come from several areas: mathematics, biology, physics, computer science, electrical engineering and artificial intelligence. Recently, a very important cross-fertilization has taken place with regard to the aforesaid scientific and technological disciplines, so as to give a new approach to the research whose common core remains in statistical physics. Each contribution is devoted to one or more of the previous subjects. In most cases they are structured as surveys, presenting at the same time an original point of view about the topic and showing mostly new results. The expository text of Fran HTTP:URL=https://doi.org/10.1007/978-94-017-1005-3

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