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Erschienen in: Neural Computing and Applications 3-4/2013

01.09.2013 | Original Article

Stability and existence of periodic solutions in inertial BAM neural networks with time delay

verfasst von: Ke Yunquan, Miao Chunfang

Erschienen in: Neural Computing and Applications | Ausgabe 3-4/2013

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Abstract

In this paper, the global exponential stability and existence of periodic solutions for inertial BAM neural networks are investigated. The system is transformed to first-order differential equation with chosen variable substitution. Then, some new sufficient conditions that ensure the existence and exponential stability of periodic solutions for the system are obtained by constructing suitable Lyapunov function, using Weierstrass criteria and boundedness of solutions. Finally, an example is given to illustrate the effectiveness of the results.

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Metadaten
Titel
Stability and existence of periodic solutions in inertial BAM neural networks with time delay
verfasst von
Ke Yunquan
Miao Chunfang
Publikationsdatum
01.09.2013
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 3-4/2013
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-012-1037-8

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