| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1706858 | Applied Mathematical Modelling | 2009 | 8 Pages |
Abstract
When designing dynamic neural networks, it is important to know whether steady state solutions can be guaranteed. By means of critical point theory, several easy-to-use fixed point theorems in RnRn are given for such purposes. Examples are also provided for illustration.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Gen-Qiang Wang, Sui Sun Cheng,