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Mean square exponential stability of stochastic neural networks with reaction–diffusion terms and delays
- Source :
-
Applied Mathematics Letters . Jan2011, Vol. 24 Issue 1, p5-11. 7p. - Publication Year :
- 2011
-
Abstract
- Abstract: In this paper, some sufficient conditions ensuring mean square exponential stability of the equilibrium point of a class of stochastic neural networks with reaction–diffusion terms and time-varying delays are obtained. The conditions involving the effect of diffusion terms reduce the conservatism of the previous results. Finally, we give a numerical example to verify the effectiveness of our results. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08939659
- Volume :
- 24
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Applied Mathematics Letters
- Publication Type :
- Academic Journal
- Accession number :
- 54105827
- Full Text :
- https://doi.org/10.1016/j.aml.2010.07.002