On a general decay stability of stochastic Cohen-Grossberg neural networks with time-varying delays

DOI10.1016/j.amc.2012.08.076zbMath1298.34155OpenAlexW2081111288MaRDI QIDQ2250262

Biljana Tojtovska, Svetlana Janković

Publication date: 4 July 2014

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2012.08.076

zbMATH Keywords

almost sure stabilitytime-varying delaysdecay functionmoment stabilitystochastic neural networks

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Asymptotic theory of functional-differential equations (34K25) Stability theory of functional-differential equations (34K20) Stochastic functional-differential equations (34K50)

Related Items (6)

Boundedness analysis of non-autonomous stochastic differential systems with Lévy noise and mixed delays ⋮ Periodic solutions for impulsive stochastic BAM neural networks with time-varying delays in leakage terms ⋮ Impulsive stochastic BAM neural networks on an invariant under a translation time scale ⋮ Periodic solutions for stochastic shunting inhibitory cellular neural networks with distributed delays ⋮ Stability of coupled systems of stochastic Cohen-Grossberg neural networks with time delays, impulses and Markovian switching ⋮ Stability analysis of hybrid stochastic delayed Cohen-Grossberg neural networks with Lévy noise and Markov switching

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