<p>Conventional digital computation methods have run into a seยญ rious speed bottleneck due to their serial nature. To overcome this problem, a new computation model, called Neural Networks, has been proposed, which is based on some aspects of neurobiology and adapted to integrated circuits. The incr
Cellular Automata, Dynamical Systems and Neural Networks
โ Scribed by Franรงois Blanchard (auth.), Eric Goles, Servet Martรญnez (eds.)
- Publisher
- Springer Netherlands
- Year
- 1994
- Tongue
- English
- Leaves
- 198
- Series
- Mathematics and Its Applications 282
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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 workยญ with recent trends in Statistical Physics. More precisely ing on subjects related related with non linear phenomena, dynamical systems, ergodic theory, cellular auยญ 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
โฆ Table of Contents
Front Matter....Pages i-viii
Cellular Automata and Transducers. A Topological View....Pages 1-22
Automata Network Models of Interacting Populations....Pages 23-77
Entropy, Pressure and Large Deviation....Pages 79-146
Formal Neural Networks: From Supervised to Unsupervised Learning....Pages 147-166
Storage of Correlated Patterns in Neural Networks....Pages 167-189
Back Matter....Pages 191-192
โฆ Subjects
Statistical Physics, Dynamical Systems and Complexity;Theory of Computation;Discrete Mathematics in Computer Science
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