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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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Hoofdauteurs: Pichamuthu Mayavel, Anandaraman Rathinasamy
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Elsevier 2023-12-01
Reeks:Results in Control and Optimization
Onderwerpen:
Stochastic time varying Hopfield neural networks
Standard Wiener process
Split step theta balanced Euler approximations
Distributed delay
Almost sure exponential stability
Strong convergence
Online toegang:http://www.sciencedirect.com/science/article/pii/S2666720723001315
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