International Journal of Mathematics and Mathematical Sciences
Volume 2008 (2008), Article ID 843695, 14 pages
doi:10.1155/2008/843695

Existence and global exponential stability of periodic solutions for general neural networks with time-varying delays

Abstract

By using the coincidence degree theorem and differential inequality techniques, sufficient conditions are obtained for the existence and global exponential stability of periodic solutions for general neural networks with time-varying (including bounded and unbounded) delays. Some known results are improved and some new results are obtained. An example is employed to illustrate our feasible results.