| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1889967 | Chaos, Solitons & Fractals | 2009 | 7 Pages |
Abstract
In this paper, a class of fuzzy bidirectional associated memory (BAM) neural networks with time-varying delays are studied. Employing fixed point theorem, matrix theory and inequality analysis, some sufficient conditions are established for the existence, uniqueness and global exponential stability of equilibrium point. The sufficient conditions are easy to verify at pattern recognition and automatic control. Finally, an example is given to show feasibility and effectiveness of our results.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Qianhong Zhang, Wei Luo,