2017
DOI: 10.14736/kyb-2017-3-0513
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Stability analysis for neutral-type impulsive neural networks with delays

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Cited by 3 publications
(2 citation statements)
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“…So the stability analysis with stochastic perturbation has aroused great interest of many researchers (see [16,17]). It is natural and important that systems containing some information are not only related to the derivative of the current state, but also have a great relationship with the previous derivative, which is called neural-type neural networks (see [9,18,19]). …”
Section: Introductionmentioning
confidence: 99%
“…So the stability analysis with stochastic perturbation has aroused great interest of many researchers (see [16,17]). It is natural and important that systems containing some information are not only related to the derivative of the current state, but also have a great relationship with the previous derivative, which is called neural-type neural networks (see [9,18,19]). …”
Section: Introductionmentioning
confidence: 99%
“…Two types of time delays are generally considered in nonlinear system in the literature, i. e., the retarded-type delays and neutral-type delays [15,44]. Retarded-type NNs that have only time-delays in the states are not good enough to characterize precisely the complicated dynamic properties of the neural cells in real world, so neutral-type NNs that involve time delays in the time derivatives of states have attracted much attention [5,8,18,20,21,22,23,36,39,41,42].…”
Section: Introductionmentioning
confidence: 99%