Generating chaos by an Elman network

Xiang Li; Zengqiang Chen; Zhuzhi Yuan; Guanrong Chen

doi:10.1109/81.948441

Generating chaos by an Elman network

Xiang Li
, Zengqiang Chen
, Zhuzhi Yuan
, Guanrong Chen

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

30 Citations (Scopus)

Abstract

A new nonlinear neuron-activation function is introduced into the framework of an Elman network, thereby enabling the neural network to generate chaos. Basic analysis of its fixed point stability and parameter selection criterion for chaos generation is given, and is verified via simulation studies.

Original language	English
Pages (from-to)	1126-1131
Journal	IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
Volume	48
Issue number	9
DOIs	https://doi.org/10.1109/81.948441
Publication status	Published - Sept 2001
Externally published	Yes

Research Keywords

Chaos
Chaos generation
Elman network
Lyapunov exponent

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title = "Generating chaos by an Elman network",

abstract = "A new nonlinear neuron-activation function is introduced into the framework of an Elman network, thereby enabling the neural network to generate chaos. Basic analysis of its fixed point stability and parameter selection criterion for chaos generation is given, and is verified via simulation studies.",

keywords = "Chaos, Chaos generation, Elman network, Lyapunov exponent",

author = "Xiang Li and Zengqiang Chen and Zhuzhi Yuan and Guanrong Chen",

year = "2001",

month = sep,

doi = "10.1109/81.948441",

language = "English",

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T1 - Generating chaos by an Elman network

AU - Li, Xiang

AU - Chen, Zengqiang

AU - Yuan, Zhuzhi

AU - Chen, Guanrong

PY - 2001/9

Y1 - 2001/9

N2 - A new nonlinear neuron-activation function is introduced into the framework of an Elman network, thereby enabling the neural network to generate chaos. Basic analysis of its fixed point stability and parameter selection criterion for chaos generation is given, and is verified via simulation studies.

AB - A new nonlinear neuron-activation function is introduced into the framework of an Elman network, thereby enabling the neural network to generate chaos. Basic analysis of its fixed point stability and parameter selection criterion for chaos generation is given, and is verified via simulation studies.

KW - Chaos

KW - Chaos generation

KW - Elman network

KW - Lyapunov exponent

UR - https://www.scopus.com/pages/publications/0035441461

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0035441461&origin=recordpage

U2 - 10.1109/81.948441

DO - 10.1109/81.948441

M3 - RGC 22 - Publication in policy or professional journal

SN - 1057-7122

VL - 48

SP - 1126

EP - 1131

JO - IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications

JF - IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications

IS - 9

ER -

Generating chaos by an Elman network

Abstract

Research Keywords

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