| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 11021163 | Neurocomputing | 2018 | 23 Pages |
Abstract
In this paper, we are concerned with the finite-time synchronization for a class of complex-valued neural networks with time delays. Instead of using some finite-time stability theorems which are recently widely applied to investigating the finite-time synchronization for neural networks, by means of using integral inequality method, two novel sufficient conditions on the finite-time synchronization for the above delayed complex-valued neural networks are established. Our results and method on finite-time synchronization for the above neural networks are new and complementary to the existing papers.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Zhengqiu Zhang, Ailing Li, Shenghua Yu,