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Mean Square Exponential Stability of Stochastic Cohen-Grossberg Neural Networks with Unbounded Distributed Delays
Joint Authors
Huang, Lehua
Huang, Chuangxia
He, Yigang
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-09-26
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
This paper addresses the issue of mean square exponential stability of stochastic Cohen-Grossberg neural networks (SCGNN), whose state variables are described by stochastic nonlinear integrodifferential equations.
With the help of Lyapunov function, stochastic analysis technique, and inequality techniques, some novel sufficient conditions on mean square exponential stability for SCGNN are given.
Furthermore, we also establish some sufficient conditions for checking exponential stability for Cohen-Grossberg neural networks with unbounded distributed delays.
American Psychological Association (APA)
Huang, Chuangxia& Huang, Lehua& He, Yigang. 2010. Mean Square Exponential Stability of Stochastic Cohen-Grossberg Neural Networks with Unbounded Distributed Delays. Discrete Dynamics in Nature and Society،Vol. 2010, no. 2010, pp.1-15.
https://search.emarefa.net/detail/BIM-477589
Modern Language Association (MLA)
Huang, Chuangxia…[et al.]. Mean Square Exponential Stability of Stochastic Cohen-Grossberg Neural Networks with Unbounded Distributed Delays. Discrete Dynamics in Nature and Society No. 2010 (2010), pp.1-15.
https://search.emarefa.net/detail/BIM-477589
American Medical Association (AMA)
Huang, Chuangxia& Huang, Lehua& He, Yigang. Mean Square Exponential Stability of Stochastic Cohen-Grossberg Neural Networks with Unbounded Distributed Delays. Discrete Dynamics in Nature and Society. 2010. Vol. 2010, no. 2010, pp.1-15.
https://search.emarefa.net/detail/BIM-477589
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-477589