Dynamical Behaviors of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks with Delays

This paper investigates dynamical behaviors of stochastic Cohen-Grossberg neural network with delays and reaction diffusion. By employing Lyapunov method, Poincaré inequality and matrix technique, some sufficient criteria on ultimate boundedness, weak attractor, and asymptotic stability are obtained...

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Main Authors: Li Wan, Qinghua Zhou, Jizi Li
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2012/369725
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author Li Wan
Qinghua Zhou
Jizi Li
author_facet Li Wan
Qinghua Zhou
Jizi Li
author_sort Li Wan
collection DOAJ
description This paper investigates dynamical behaviors of stochastic Cohen-Grossberg neural network with delays and reaction diffusion. By employing Lyapunov method, Poincaré inequality and matrix technique, some sufficient criteria on ultimate boundedness, weak attractor, and asymptotic stability are obtained. Finally, a numerical example is given to illustrate the correctness and effectiveness of our theoretical results.
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id doaj-art-718721b2d6964bce83c9f3703bdcb700
institution OA Journals
issn 1085-3375
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language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Abstract and Applied Analysis
spelling doaj-art-718721b2d6964bce83c9f3703bdcb7002025-08-20T02:06:32ZengWileyAbstract and Applied Analysis1085-33751687-04092012-01-01201210.1155/2012/369725369725Dynamical Behaviors of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks with DelaysLi Wan0Qinghua Zhou1Jizi Li2School of Mathematics and Computer Science, Wuhan Textile University, Wuhan 430073, ChinaDepartment of Mathematics, Zhaoqing University, Zhaoqing 526061, ChinaSchool of Management, Wuhan Textile University, Wuhan 430073, ChinaThis paper investigates dynamical behaviors of stochastic Cohen-Grossberg neural network with delays and reaction diffusion. By employing Lyapunov method, Poincaré inequality and matrix technique, some sufficient criteria on ultimate boundedness, weak attractor, and asymptotic stability are obtained. Finally, a numerical example is given to illustrate the correctness and effectiveness of our theoretical results.http://dx.doi.org/10.1155/2012/369725
spellingShingle Li Wan
Qinghua Zhou
Jizi Li
Dynamical Behaviors of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks with Delays
Abstract and Applied Analysis
title Dynamical Behaviors of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks with Delays
title_full Dynamical Behaviors of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks with Delays
title_fullStr Dynamical Behaviors of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks with Delays
title_full_unstemmed Dynamical Behaviors of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks with Delays
title_short Dynamical Behaviors of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks with Delays
title_sort dynamical behaviors of stochastic reaction diffusion cohen grossberg neural networks with delays
url http://dx.doi.org/10.1155/2012/369725
work_keys_str_mv AT liwan dynamicalbehaviorsofstochasticreactiondiffusioncohengrossbergneuralnetworkswithdelays
AT qinghuazhou dynamicalbehaviorsofstochasticreactiondiffusioncohengrossbergneuralnetworkswithdelays
AT jizili dynamicalbehaviorsofstochasticreactiondiffusioncohengrossbergneuralnetworkswithdelays