Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6866643 | Neurocomputing | 2014 | 12 Pages |
Abstract
In this paper, the existence and the global exponential stability of anti-periodic solution for competitive neural networks with delays in the leakage terms are investigated on time scales which unifies the continuous-time and the discrete-time competitive neural networks under the same framework. Firstly, the existence of anti-periodic solution is discussed by using the method of coincidence degree and M-matrices. Then some sufficient conditions are obtained to guarantee the global exponential stability of anti-periodic solution for such neural networks. The obtained results are new and improve some earlier publications. Finally, two examples are given to illustrate the effectiveness of the theoretical results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yang Liu, Yongqing Yang, Tian Liang, Li Li,