Téléchargez le livre : Replication of Chaos in Neural Networks, Economics and Physics

Replication of Chaos in Neural Networks, Economics and Physics

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Éditeur :

Springer


Collection :

Nonlinear Physical Science

Paru le : 2015-08-13

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Description

This book presents detailed descriptions of chaos for continuous-time systems. It is the first-ever book to consider chaos as an input for differential and hybrid equations. Chaotic sets and chaotic functions are used as inputs for systems with attractors: equilibrium points, cycles and tori. The findings strongly suggest that chaos theory can proceed from the theory of differential equations to a higher level than previously thought. The approach selected is conducive to the in-depth analysis of different types of chaos. The appearance of deterministic chaos in neural networks, economics and mechanical systems is discussed theoretically and supported by simulations. As such, the book offers a valuable resource for mathematicians, physicists, engineers and economists studying nonlinear chaotic dynamics.
Pages
457 pages
Collection
Nonlinear Physical Science
Parution
2015-08-13
Marque
Springer
EAN papier
9783662474990
EAN PDF
9783662475003
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
45
Taille du fichier
33208 Ko
Prix
94,94 €
EAN EPUB
9783662475003
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
45
Taille du fichier
10322 Ko
Prix
94,94 €

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