Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
409757 | Neurocomputing | 2015 | 10 Pages |
Abstract
In this paper, by using a continuation theorem of coincidence degree theory and differential inequality techniques, we establish some sufficient conditions ensuring the existence and global exponential stability of anti-periodic solutions for a class of BAM neural networks with time-varying leakage delays and impulses on time scales. In addition, we present an illustrative example to show the feasibility of obtained results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yongkun Li, Li Yang, Wanqin Wu,