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Applied Mathematical Modelling
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Stability analysis of impulsive Cohen–Grossberg neural networks with distributed delays and reaction–diffusion terms

Stability analysis of impulsive Cohen-Grossberg neural networks with distributed delays and reaction-diffusion terms
descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2009 English Publisher:Elsevier BVJournal:Applied Mathematical Modelling, volume 33, pages 1,337-1,348 (issn: 0307-904X, Copyright policy )
Authors: Li, Zuoan; Li, Kelin;

doi: 10.1016/j.apm.2008.01.016

Stability analysis of impulsive Cohen–Grossberg neural networks with distributed delays and reaction–diffusion terms

Abstract

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Keywords

delays, Applied Mathematics, Partial functional-differential equations, reaction-diffusion, global exponential stability, Neural networks for/in biological studies, artificial life and related topics, Dynamical systems in biology, impulses, Reaction-diffusion equations, Initial-boundary value problems for second-order parabolic equations, Modelling and Simulation, Cohen-Grossberg neural networks, Stability in context of PDEs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
53
Top 10%
Top 10%
Top 10%
hybrid