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Mean square exponential stability of stochastic recurrent neural networks with time-varying delays
- Source :
-
Computers & Mathematics with Applications . Oct2008, Vol. 56 Issue 7, p1773-1778. 6p. - Publication Year :
- 2008
-
Abstract
- Abstract: The stability of a class of stochastic Recurrent Neural Networks with time-varying delays is investigated in this paper. With the help of the Lyapunov function and the Dini derivative of the expectation of “along” the solution of the model, a set of novel sufficient conditions on mean square exponential stability has been established. An example is also given to illustrate the effectiveness of our results. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 08981221
- Volume :
- 56
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- Computers & Mathematics with Applications
- Publication Type :
- Academic Journal
- Accession number :
- 33664110
- Full Text :
- https://doi.org/10.1016/j.camwa.2008.04.004