| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 408666 | Neurocomputing | 2010 | 7 Pages |
Abstract
In this paper, the delayed high-ordered Hopfield neural networks (HHNNs) with unbounded activation functions are investigated. A set of sufficient conditions for the existence and exponential attractivity of the almost periodic solutions are derived under mild conditions. For special cases, we also present several criteria correspondingly. In addition, an example is provided to illustrate the effectiveness of our results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Lili Wang,