| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1894332 | Chaos, Solitons & Fractals | 2006 | 8 Pages |
Abstract
The global asymptotic stability of bi-directional associative memory neural networks with distributed delays and reaction–diffusion terms are studied by using the analysis technique and Lyapunov functional. A sufficient condition is proposed. Two numerical examples are given to show the correctness of our analysis.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Bao Tong Cui, Xu Yang Lou,