| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4640651 | Journal of Computational and Applied Mathematics | 2009 | 7 Pages |
Abstract
A class of nonautonomous neural networks with time-varying delays and reaction-diffusion terms is considered. By means of Lyapunov functionals and differential inequality techniques, criteria on global exponential stability of this model with the Neumann boundary conditions and the Dirichlet boundary conditions are derived, respectively. The results of this paper are new and they improve and generalize previously known results.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Jinxian Li, Fengqin Zhang, Jurang Yan,