Cellular Automata, Dynamical Systems and Neural Networks (Hardcover, 1994 ed.)

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"

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	Mathematics and Its Applications, 282
Release date:	March 1994
First published:	March 1994
Editors:	E. Goles • Servet Martinez
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Hardcover
Pages:	192
Edition:	1994 ed.
ISBN-13:	978-0-7923-2772-1
Categories:	Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Thermodynamics Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Promotions
LSN:	0-7923-2772-1
Barcode:	9780792327721

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!