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Titlebook: Replication of Chaos in Neural Networks, Economics and Physics; Marat Akhmet,Mehmet Onur Fen Book 2016 The Editor(s) (if applicable) and T

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發(fā)表于 2025-3-21 18:57:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Replication of Chaos in Neural Networks, Economics and Physics
編輯Marat Akhmet,Mehmet Onur Fen
視頻videohttp://file.papertrans.cn/828/827326/827326.mp4
概述Provides precise definitions of continuous chaos with subsequent theorems on replication of deterministic chaos.Explains how chaos can be extended through connections in collectives of differential an
叢書(shū)名稱Nonlinear Physical Science
圖書(shū)封面Titlebook: Replication of Chaos in Neural Networks, Economics and Physics;  Marat Akhmet,Mehmet Onur Fen Book 2016 The Editor(s) (if applicable) and T
描述.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..
出版日期Book 2016
關(guān)鍵詞Deterministic Chaos-Entrainment by Chaos-; Equation-Non-Linear Dynamics-Mechanical; Models-Economic Mo
版次1
doihttps://doi.org/10.1007/978-3-662-47500-3
isbn_softcover978-3-662-51710-9
isbn_ebook978-3-662-47500-3Series ISSN 1867-8440 Series E-ISSN 1867-8459
issn_series 1867-8440
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:21:41 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:23:42 | 只看該作者
,Replication of Continuous Chaos About?Equilibria,concept, since it helps us to describe in the most general form the expansion of chaos, which is not only an enlargement of the dimension of chaotic systems, but also saving properties of chaos during the extension.
地板
發(fā)表于 2025-3-22 07:11:02 | 只看該作者
Introduction, the global properties of solutions (Devaney, An Introduction to Chaotic Dynamical Systems, 1989) [.]. His discovery of the homoclinic orbits figures prominently in the studies of chaotic dynamical systems. Poincaré first encountered the presence of homoclinic orbits in the three-body problem of cel
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發(fā)表于 2025-3-22 11:26:11 | 只看該作者
,Replication of Continuous Chaos About?Equilibria,ums. This is why we start with perturbation of linear systems with constant coefficients and globally asymptotically stable equilibriums. In this chapter, we introduce chaotic sets of functions, the generator and replicator of chaos, precise description of ingredients for Devaney and Li–Yorke chaos
6#
發(fā)表于 2025-3-22 14:49:24 | 只看該作者
Chaos Extension in Hyperbolic Systems,Devaney and Li–Yorke is taken into account for unidirectionally coupled systems. The rigorously proved results are supported by simulations. A method for controlling the extended chaos is also presented.
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發(fā)表于 2025-3-22 17:23:08 | 只看該作者
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發(fā)表于 2025-3-22 22:53:20 | 只看該作者
Chaotification of Impulsive Systems,orke by implementing chaotic perturbations. An impulsive Duffing oscillator is used to show the effectiveness of our technique, and simulations that support the theoretical results are depicted. Moreover, a procedure to stabilize the unstable periodic solutions is proposed.
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發(fā)表于 2025-3-23 01:33:10 | 只看該作者
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發(fā)表于 2025-3-23 08:30:34 | 只看該作者
Book 2016al 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 approa
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