Anti-periodic solutions for high-order Hopfield neural networks

Authors:
Chunxia Ou
Affiliations:
Applied Mathematics Institute, Guangdong University of Technology, Guangzhou, 510290, PR China
Venue:
Computers & Mathematics with Applications
Year:
2008

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Abstract

In this paper high-order Hopfield neural networks (HHNNs) with time-varying delays are considered. Sufficient conditions for the existence and exponential stability of anti-periodic solutions are established, which are new and complement previously known results.