國立高雄大學圖資館 |

Language: English

Back

Replication of chaos in neural netwo...

Akhmet, Marat.

Replication of chaos in neural networks, economics and physics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Replication of chaos in neural networks, economics and physicsby Marat Akhmet, Mehmet Onur Fen.
Author:	Akhmet, Marat.
other author:	Fen, Mehmet Onur.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg :2016.
Description:	xv, 457 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Chaotic behavior in systems.
Online resource:	http://dx.doi.org/10.1007/978-3-662-47500-3
ISBN:	9783662475003$q(electronic bk.)

Replication of chaos in neural networks, economics and physics
Akhmet, Marat.

Replication of chaos in neural networks, economics and physics[electronic resource] /by Marat Akhmet, Mehmet Onur Fen. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xv, 457 p. :ill., digital ;24 cm. - Nonlinear physical science,1867-8440. - Nonlinear physical science..

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.

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: 9783662475003$q(electronic bk.)

Standard No.: 10.1007/978-3-662-47500-3doiSubjects--Topical Terms:

182904
Chaotic behavior in systems.

LC Class. No.: Q172.5.C45

Dewey Class. No.: 003.857

Replication of chaos in neural networks, economics and physics
LDR:02330nmm a2200337 a 4500 001 481178
003 DE-He213
005 20160715100143.0
006 m d
007 cr nn 008maaau
008 161007s2016 gw s 0 eng d
020 $a 9783662475003$q(electronic bk.)
020 $a 9783662474990$q(paper)
024 7 $a 10.1007/978-3-662-47500-3 $2 doi
035 $a 978-3-662-47500-3
040 $a GP $c GP
041 0 $a eng
050 4 $a Q172.5.C45
072 7 $a PBWR $2 bicssc
072 7 $a PHDT $2 bicssc
072 7 $a SCI012000 $2 bisacsh
082 0 4 $a 003.857 $2 23
090 $a Q172.5.C45 $b A315 2016
100 1 $a Akhmet, Marat. $3 492369
245 1 0 $a Replication of chaos in neural networks, economics and physics $h [electronic resource] / $c by Marat Akhmet, Mehmet Onur Fen.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2016.
300 $a xv, 457 p. : $b ill., digital ; $c 24 cm.
490 1 $a Nonlinear physical science, $x 1867-8440
505 0 $a 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.
520 $a 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.
650 0 $a Chaotic behavior in systems. $3 182904
650 0 $a Topological dynamics. $3 468099
650 1 4 $a Physics. $3 179414
650 2 4 $a Nonlinear Dynamics. $3 492213
650 2 4 $a Difference and Functional Equations. $3 274826
650 2 4 $a Theoretical and Applied Mechanics. $3 274501
650 2 4 $a Game Theory/Mathematical Methods. $3 274396
650 2 4 $a Mathematical and Computational Biology. $3 514442
700 1 $a Fen, Mehmet Onur. $3 737013
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Nonlinear physical science. $3 594745
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-47500-3
950 $a Physics and Astronomy (Springer-11651)