Existence and global attractivity of almost periodic solutions for delayed high-ordered neural networks

Authors:
Lili Wang
Affiliations:
Shanghai Key Laboratory for Contemporary Applied Mathematics, Key Laboratory of Nonlinear Science of Chinese Ministry of Education, School of Mathematics, Fudan University, Shanghai 200433, PR Chi ...
Venue:
Neurocomputing
Year:
2010

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Abstract

In this paper, the delayed high-ordered Hopfield neural networks (HHNNs) with unbounded activation functions are investigated. A set of sufficient conditions for the existence and exponential attractivity of the almost periodic solutions are derived under mild conditions. For special cases, we also present several criteria correspondingly. In addition, an example is provided to illustrate the effectiveness of our results.