| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 404222 | Neural Networks | 2012 | 5 Pages |
Abstract
This paper addresses the stability problem of a class of delayed neural networks with time-varying impulses. One important feature of the time-varying impulses is that both the stabilizing and destabilizing impulses are considered simultaneously. Based on the comparison principle, the stability of delayed neural networks with time-varying impulses is investigated. Finally, the simulation results demonstrate the effectiveness of the results.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Wenbing Zhang, Yang Tang, Jian-an Fang, Xiaotai Wu,