Copyright © 2009 Yingxin Guo and Mingzhi Xue. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Employing fixed point theorem, we make a further investigation of a class of
neural networks with delays in this paper. A family of sufficient conditions is given for
checking global exponential stability. These results have important leading significance in
the design and applications of globally stable neural networks with delays. Our results
extend and improve some earlier publications.