Dynamic analysis of stochastic reaction-diffusion Cohen-Grossberg neural networks with delays
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Publication:1034127
DOI10.1155/2009/410823zbMath1177.60061OpenAlexW2135361967WikidataQ59220007 ScholiaQ59220007MaRDI QIDQ1034127
Publication date: 11 November 2009
Published in: Advances in Difference Equations (Search for Journal in Brave)
Full work available at URL: https://eudml.org/doc/45765
Reaction-diffusion equations (35K57) Neural networks for/in biological studies, artificial life and related topics (92B20) Stochastic partial differential equations (aspects of stochastic analysis) (60H15) PDEs with randomness, stochastic partial differential equations (35R60)
Related Items (7)
Robust stability analysis for discrete and distributed time-delays Markovian jumping reaction-diffusion integro-differential equations with uncertain parameters ⋮ LMI approach to exponential stability and almost sure exponential stability for stochastic fuzzy Markovian-jumping Cohen-Grossberg neural networks with nonlinear \(p\)-Laplace diffusion ⋮ Mean square exponential stability of stochastic Cohen-Grossberg neural networks with unbounded distributed delays ⋮ New stability criterion for Takagi-sugeno fuzzy Cohen-Grossberg neural networks with probabilistic time-varying delays ⋮ Exponential robust stability of T-S fuzzy stochastic \(p\)-Laplace PDEs under zero-boundary condition ⋮ Delay-dependent exponential stability for nonlinear reaction-diffusion uncertain Cohen-Grossberg neural networks with partially known transition rates via Hardy-Poincaré inequality ⋮ Robust stability of probabilistic delays fuzzy stochastic \(p\)-Laplace dynamic equations
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