| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1863308 | Physics Letters A | 2007 | 7 Pages |
Abstract
The stability property of bidirectional associate memory (BAM) neural networks with time-varying delays and diffusion terms are considered. By using the method of variation parameter and inequality technique, the delay-independent sufficient conditions to guarantee the uniqueness and global exponential stability of the equilibrium solution of such networks are established.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Physics and Astronomy (General)
Authors
Li Wan, Qinghua Zhou,