| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1710206 | Applied Mathematics Letters | 2008 | 5 Pages |
Abstract
The stability of stochastic delayed Hopfield neural networks (DHNN) is investigated in this paper. Under the help of suitable Lyapunov function and the semimartingale convergence theorem, we obtain some sufficient criteria to check the almost sure exponential stability of the DHNN.
Related Topics
Physical Sciences and Engineering
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Computational Mechanics
Authors
Chuangxia Huang, Ping Chen, Yigang He, Lihong Huang, Wen Tan,