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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Detalhes bibliográficos

Principais autores:	Pichamuthu Mayavel, Anandaraman Rathinasamy
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2023-12-01
coleção:	Results in Control and Optimization
Assuntos:	Stochastic time varying Hopfield neural networks Standard Wiener process Split step theta balanced Euler approximations Distributed delay Almost sure exponential stability Strong convergence
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2666720723001315
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