| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 410536 | Neurocomputing | 2009 | 7 Pages |
Abstract
A model describing dynamics of Cohen–Grossberg neural networks with time-delays and impulses is considered. By means of Lyapunov functionals and differential inequality technique, criteria on global exponential stability of this model are derived. The results of this paper are new and they supplement previously known results.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jinxian Li, Jurang Yan,