Cantitate/Preț
Produs

Analysis of Dynamical and Cognitive Systems: Advanced Course, Stockholm, Sweden, August 9 - 14, 1993. Proceedings: Lecture Notes in Computer Science, cartea 888

Editat de Stig I. Andersson
en Limba Engleză Paperback – 26 ian 1995
This volume constitutes the documentation of the advanced course on Analysis of Dynamical and Cognitive Systems, held during the Summer University of Southern Stockholm in Stockholm, Sweden in August 1993.
The volume contains eight carefully revised full versions of the invited three-to-four hour presentations as well as two abstracts. As a consequence of the interdisciplinary topic, several aspects of dynamical and cognitive systems are addressed: there are three papers on computability and undecidability, five tutorials on diverse aspects of universal cellular neural networks, and two presentations on dynamical systems and complexity.
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 31401 lei

Preț vechi: 39252 lei
-20% Nou

Puncte Express: 471

Preț estimativ în valută:
6014 6520$ 49100£

Carte tipărită la comandă

Livrare economică 02-16 decembrie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783540588436
ISBN-10: 3540588434
Pagini: 276
Ilustrații: VIII, 268 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.39 kg
Ediția:1995
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

The limits of mathematics course outline and software.- Historical background of Gödel's theorem.- A formal scheme for avoiding undecidable problems. Applications to chaotic behavior characterization and parallel computation.- Cellular neural networks — A tutorial on programmable nonlinear dynamics in space.- Neural coding: A theoretical vista of mechanisms, techniques, and applications.- Hebbian unlearning.- Mapping discounted and undiscounted Markov Decision Problems onto Hopfield neural networks.- “Blob” analysis of biomedical image sequences: A model-based and an inductive approach.- Simplicity criteria for dynamical systems.- Analysis of dynamical systems using predicate transformers: Attraction and composition.