The split step theta balanced numerical approximations of stochastic time varying Hopfield neural networks with distributed delays

In this paper, split step theta balanced Euler approximations for stochastic time-varying delay Hopfield neural networks (HNN) with distributed delays are examined for their exponential stability and strong convergence. The primary goal of this study is to determine how the stochastic HNN time varyi...

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Autori principali:	Pichamuthu Mayavel, Anandaraman Rathinasamy
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2023-12-01
Serie:	Results in Control and Optimization
Soggetti:	Stochastic time varying Hopfield neural networks Standard Wiener process Split step theta balanced Euler approximations Distributed delay Almost sure exponential stability Strong convergence
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2666720723001315
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