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Existence and stability of periodic solution in impulsive Hopfield neural networks with finite distributed delays
Yang X.2; Liao X.2; Evans D.J.3; Tang Y.2
2005-08-01
Source PublicationPHYSICS LETTERS A
ISSN0375-9601
Volume343Issue:1-3Pages:108-116
Abstract

In this Letter, we introduce a class of Hopfield neural networks with periodic impulses and finite distributed delays. We then derive a sufficient condition for the existence and global exponential stability of a unique periodic solution of the networks, which assumes neither the differentiability nor the monotonicity of the activation functions. Our condition extends and generalizes a known condition for the global exponential periodicity of continuous Hopfield neural networks with finite distributed delays. © 2005 Elsevier B.V. All rights reserved.

KeywordFinite Distributed Delay Global Exponential Periodicity Hopfield Neural Network Impulsive Neural Network
DOI10.1016/j.physleta.2005.06.008
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaPhysics
WOS SubjectPhysics, Multidisciplinary
WOS IDWOS:000230586700016
Scopus ID2-s2.0-21744433519
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Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Hong Kong Baptist University
2.Chongqing University
3.Loughborough University
Recommended Citation
GB/T 7714
Yang X.,Liao X.,Evans D.J.,et al. Existence and stability of periodic solution in impulsive Hopfield neural networks with finite distributed delays[J]. PHYSICS LETTERS A, 2005, 343(1-3), 108-116.
APA Yang X.., Liao X.., Evans D.J.., & Tang Y. (2005). Existence and stability of periodic solution in impulsive Hopfield neural networks with finite distributed delays. PHYSICS LETTERS A, 343(1-3), 108-116.
MLA Yang X.,et al."Existence and stability of periodic solution in impulsive Hopfield neural networks with finite distributed delays".PHYSICS LETTERS A 343.1-3(2005):108-116.
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