| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4635913 | Applied Mathematics and Computation | 2006 | 7 Pages |
Abstract
In this paper, we discuss stochastic Cohen-Grossberg neural networks with time delays. By constructing suitable Lyapunov functional and employing the semimartingale convergence theorem we give some sufficient criteria ensuring almost sure exponential stability of the networks. The results obtained are helpful to design stability of networks when stochastic noise is taken into consideration.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Hongyong Zhao, Nan Ding,