2009
DOI: 10.1016/j.neucom.2008.08.008
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Global exponential stability of impulsive BAM neural networks with distributed delays

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Cited by 18 publications
(16 citation statements)
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“…Most widely used neural networks are neither of purely continuous-time nor of purely discrete-time type [7]- [10]. Also there has been a new category of neural networks called impulsive neural networks, which display a combination of characteristics of both continuous-time and discrete-time systems.…”
Section: J Ij I I Dx T a X T X T P F Y T T Dt R S F Y T S Ds I T T T mentioning
confidence: 99%
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“…Most widely used neural networks are neither of purely continuous-time nor of purely discrete-time type [7]- [10]. Also there has been a new category of neural networks called impulsive neural networks, which display a combination of characteristics of both continuous-time and discrete-time systems.…”
Section: J Ij I I Dx T a X T X T P F Y T T Dt R S F Y T S Ds I T T T mentioning
confidence: 99%
“…The initial conditions associated with system (4) can be defined as (1)(2) is studied [7], [8], [10] with delays and impulses. The equilibrium point …”
Section: T U T L U T K Dv T V T B V T Qg U T S S G U T S Ds Dt Where mentioning
confidence: 99%
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“…The reader can easily realize, nevertheless, that most of equations of models considered in the above mentioned papers are subject to periodic assumptions and the authors, in particular, studied the existence of their periodic solutions, see also [11,13,18,37,42]. On the other hand, upon considering long-term dynamical behaviors it is possible for the various components of the model to be periodic with rationally independent periods, and therefore it is more reasonable to consider the various parameters of models to be changing almost-periodically rather than periodically with a common period.…”
Section: Introductionmentioning
confidence: 99%