Replication of Chaos in Neural Networks, Economics and Physics

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 fi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Akhmet, Marat (Autor), Fen, Mehmet Onur (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Nonlinear Physical Science,
Temas:
Nonlinear Optics.
Difference equations.
Functional equations.
Mechanics, Applied.
Econometrics.
Biomathematics.
Difference and Functional Equations.
Engineering Mechanics.
Quantitative Economics.
Mathematical and Computational Biology.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Replication of Continuous Chaos about Equilibria
  • Chaos Extension in Hyperbolic Systems
  • Entrainment by Chaos
  • Chaotification of Impulsive Systems by Perturbations
  • Chaos Generation in Continuous/Discrete-Time Models
  • Economic Models with Deterministic Chaos as Generated by Exogenous Continuous/Discrete Shocks
  • Replication of Chaos by Neural Networks
  • ntrainment by Spatiotemporal Chaos in Glow Discharge-Semiconductor Systems.

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