Replication of Chaos in Neural Networks, Economics and Physics

Replication of Chaos in Neural Networks, Economics and Physics

English | PDF(Repost),EPUB | 2016 | 468 Pages | ISBN : 3662474999 | 42.52 MB

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.


[Fast Download] Replication of Chaos in Neural Networks, Economics and Physics

Ebooks related to "Replication of Chaos in Neural Networks, Economics and Physics" :
Future-Ready Leadership: Strategies for the Fourth Industrial Revolution
Mixing Secrets for the Small Studio, Second Edition
Placental-Fetal Growth Restriction
Edexcel International GCSE (9-1) Physics Student Book
Cerebral Blood Flow and Metabolism: A Quantitative Approach
A Brief Introduction to Circuit Analysis
Cracking the SAT Physics Subject Test, 2013-2014 Edition
Silicon Nanomaterials Sourcebook: Hybrid Materials, Arrays, Networks, and Devices, Volume 2
Multiphysics Modeling Using COMSOL: A First Principles Approach
Zeta Functions, Topology and Quantum Physics
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.