摘要
Discrete-time analogues of continuous-time neural networks with continuously distributed delays and periodic inputs are introduced. The discrete-time analogues are considered to be numerical discretizations of the continuous-time networks and we study their dynamical characteristics. By employing Halanay-type inequality, we obtain easily verifiable sufficient conditions ensuring that every solutions of the discrete-time analogue converge exponentially to the unique periodic solutions. It is shown that the discrete-time analogues preserve the periodicity of the continuous-time networks.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings |
| 出版商 | Springer Verlag |
| 页 | 1054-1060 |
| 页数 | 7 |
| 版本 | PART 1 |
| ISBN(印刷版) | 9783540723820 |
| DOI | |
| 出版状态 | 已出版 - 2007 |
| 已对外发布 | 是 |
| 活动 | 4th International Symposium on Neural Networks, ISNN 2007 - Nanjing, 中国 期限: 3 6月 2007 → 7 6月 2007 |
出版系列
| 姓名 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| 编号 | PART 1 |
| 卷 | 4491 LNCS |
| ISSN(印刷版) | 0302-9743 |
| ISSN(电子版) | 1611-3349 |
会议
| 会议 | 4th International Symposium on Neural Networks, ISNN 2007 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Nanjing |
| 时期 | 3/06/07 → 7/06/07 |
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