Author:
Halik Azhar,Wumaier Aishan
Abstract
AbstractThis paper studies the general decay synchronization (GDS) of a class of nonautonomous bidirectional associative memory recurrent neural networks (BAMRNNs) with mixed time delays. By employing the Lyapunov method and useful inequality techniques, some sufficient conditions on the general decay synchronization for BAMRNNs are derived. In addition, an example with numerical simulations is presented to illustrate the obtained theoretical results.
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Discrete Mathematics and Combinatorics,Analysis
Reference33 articles.
1. Kosko, B.: Adaptive bi-directional associative memories. Appl. Opt. 26, 4947–4960 (1987)
2. Hopfield, J.: Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. USA 79, 2554–2558 (1982)
3. Cao, J.: Global asymptotics stability of delayed bi-directional associative memory neural networks. Appl. Math. Comput. 142, 333–339 (2003)
4. Cao, J., Wang, L.: Exponential stability and periodic oscillatory solution in BAM networks with delays. IEEE Trans. Neural Netw. 13, 457–463 (2002)
5. Huang, Z.K., Xia, Y.H.: Global exponential stability of BAM neural networks with transmission delays and nonlinear impulses. Chaos Solitons Fractals 38, 489–498 (2008)
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