| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 406347 | Neural Networks | 2014 | 8 Pages |
Abstract
In this paper, we study convergence behaviors of delayed discrete cellular neural networks without periodic coefficients. Some sufficient conditions are derived to ensure all solutions of delayed discrete cellular neural network without periodic coefficients converge to a periodic function, by applying mathematical analysis techniques and the properties of inequalities. Finally, some examples showing the effectiveness of the provided criterion are given.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jinling Wang, Haijun Jiang, Cheng Hu, Tianlong Ma,