Periodic Oscillation of Fuzzy Cohen-Grossberg Neural Networks with Distributed Delay and Variable Coefficients
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-02-28
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
A class of fuzzy Cohen-Grossberg neural networks with distributed delay and variable coefficients is discussed.
It is neither employing coincidence degree theory nor constructing Lyapunov functionals, instead, by applying matrix theory and inequality analysis, some sufficient conditions are obtained to ensure the existence, uniqueness, global attractivity and global exponential stability of the periodic solution for the fuzzy Cohen-Grossberg neural networks.
The method is very concise and practical.
Moreover, two examples are posed to illustrate the effectiveness of our results.
American Psychological Association (APA)
Xiang, Hongjun& Cao, Jinde. 2008. Periodic Oscillation of Fuzzy Cohen-Grossberg Neural Networks with Distributed Delay and Variable Coefficients. Journal of Applied Mathematics،Vol. 2008, no. 2008, pp.1-18.
https://search.emarefa.net/detail/BIM-472810
Modern Language Association (MLA)
Xiang, Hongjun& Cao, Jinde. Periodic Oscillation of Fuzzy Cohen-Grossberg Neural Networks with Distributed Delay and Variable Coefficients. Journal of Applied Mathematics No. 2008 (2008), pp.1-18.
https://search.emarefa.net/detail/BIM-472810
American Medical Association (AMA)
Xiang, Hongjun& Cao, Jinde. Periodic Oscillation of Fuzzy Cohen-Grossberg Neural Networks with Distributed Delay and Variable Coefficients. Journal of Applied Mathematics. 2008. Vol. 2008, no. 2008, pp.1-18.
https://search.emarefa.net/detail/BIM-472810
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-472810
