Abstract
This paper studies mainly the dynamical behaviour of a cellular neural network. The dynamical property is controlled via adjusting the weight parameters of the system. The results indicate the structure of the attractor depends sensitively on the alteration of a parameter, and the dynamical behaviour of the cellular neural network shows the chaotic attractor with a larger extent of parameters.
Publisher
Acta Physica Sinica, Chinese Physical Society and Institute of Physics, Chinese Academy of Sciences
Subject
General Physics and Astronomy
Cited by
10 articles.
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