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Study of the dynamics of a first-order cellular neural networks with delay
Author(s) -
Qiang Zhang,
Lin Gao,
Chao Wang,
Tao Yuan,
Jin Xu
Publication year - 2003
Publication title -
acta physica sinica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.52.1606
Subject(s) - dynamics (music) , order (exchange) , computer science , artificial neural network , statistical physics , physics , artificial intelligence , acoustics , business , finance
The dynamics of a first-order cellular neural network with delay has been studied in this paper- By using the delay as a bifurcation parameter, the Hopf bifurc ations are proved- Furthermore, by choosing suitable parameters and delay, chaot ic behaviour has been observed- Computer simulations, as well as Lyapunov ex ponent, are presented to support our results- Due to the simple structure of thi s network, it can serve as a chaos-generator in practice-

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