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Neural Computing and Applications

, Volume 29, Issue 7, pp 513–527 | Cite as

Weighted pseudo-almost automorphic solutions of high-order Hopfield neural networks with neutral distributed delays

  • Lili Zhao
  • Yongkun Li
  • Bing Li
Original Article

Abstract

In this paper, a class of high-order Hopfield neural networks with neutral distributed delays is considered. Some sufficient conditions are obtained for the existence, uniqueness and global exponential stability of weighted pseudo-almost automorphic solutions for this class of networks by employing the Banach fixed-point theorem and differential inequality techniques. The results of this paper are completely new. An example is given to show the effectiveness of the proposed method and results.

Keywords

High-order Hopfield neural networks Neutral distributed delays Weighted pseudo-almost automorphic solution Global exponential stability Fixed-point theorem 

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Copyright information

© The Natural Computing Applications Forum 2016

Authors and Affiliations

  1. 1.Department of MathematicsYunnan UniversityKunmingPeople’s Republic of China

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