Replication of Chaos in Neural Networks, Economics and Physics Preface

Date

2016-01-01

Author

Akhmet, Marat
Fen, Mehmet Onur

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https://hdl.handle.net/11511/99322

Journal

REPLICATION OF CHAOS IN NEURAL NETWORKS, ECONOMICS AND PHYSICS

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Department of Mathematics, Article

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Replication of chaos in neural networks, economics and physics Akhmet, Marat (Springer, London/Berlin , 2016-12-01) 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 ...
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Citation Formats

M. Akhmet and M. O. Fen, “Replication of Chaos in Neural Networks, Economics and Physics Preface,” REPLICATION OF CHAOS IN NEURAL NETWORKS, ECONOMICS AND PHYSICS, pp. 0–0, 2016, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/99322.