Electronic Journal of Differential Equations,
Vol. 2010(2010), No. 50, pp. 1-11.

Title: Anti-periodic solutions for recurrent neural networks without
       assuming global Lipschitz conditions
       
Authors: Hong Zhang (Hunan Univ. of Arts and Science, China)
         Yuanheng Wu (Guangzhou Univ., Guangdong, China)

Abstract:
 In this paper we study recurrent neural networks with time-varying
 delays and continuously distributed delays. Without assuming
 global Lipschitz conditions on the activation functions, we
 establish the existence and local exponential stability of
 anti-periodic solutions.

Submitted December 11, 2009. Published April 09, 2010.
Math Subject Classifications: 34C25, 34D40.
Key Words: Recurrent neural networks; anti-periodic; 
           exponential stability; delay.