Title Replication of Chaos in Neural Networks, Economics and Physics Author(s) Akhmet, Marat;Fen, Mehmet Onur Publication Berlin, Heidelberg, Springer Berlin Heidelberg, 2016. Description XV, 457 p. 141 illus., 133 illus. in color : online resource Abstract Note 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 ISBN,Price 9783662475003 Keyword(s) 1. Applications of Nonlinear Dynamics and Chaos Theory 2. BIOMATHEMATICS 3. Difference and Functional Equations 4. DIFFERENCE EQUATIONS 5. EBOOK 6. EBOOK - SPRINGER 7. ECONOMIC THEORY 8. Economic Theory/Quantitative Economics/Mathematical Methods 9. FUNCTIONAL EQUATIONS 10. Mathematical and Computational Biology 11. MECHANICS 12. Mechanics, Applied 13. STATISTICAL PHYSICS 14. Theoretical and Applied Mechanics Item Type eBook Multi-Media Links Please Click here for eBook Circulation Data Accession#   Call# Status Issued To Return Due On Physical Location I08638     On Shelf