期刊论文详细信息
| Journal of inequalities and applications | |
| Exponential convergence of Cohen-Grossberg neural networks with continuously distributed leakage delays | |
| Zhibin Chen1  | |
| 关键词: Cohen-Grossberg neural network; global exponential convergence; continuously distributed delay; leakage term; | |
| DOI : 10.1186/1029-242X-2014-48 | |
| 学科分类:数学(综合) | |
| 来源: SpringerOpen | |
PDF
|
|
【 摘 要 】
This paper is concerned with the global exponential convergence of Cohen-Grossberg neural networks with continuously distributed leakage delays. By using the Lyapunov functional method and differential inequality techniques, we propose a new approach to establishing some sufficient conditions ensuring that all solutions of the networks converge exponentially to the zero point. Our results complement some recent ones. MSC: 34C25, 34K13, 34K25.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201902012803976ZK.pdf | 284KB |
PDF