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Neural Computing and Applications

, Volume 29, Issue 10, pp 865–872 | Cite as

Weighted pseudo-anti-periodic SICNNs with mixed delays

  • Qiyuan Zhou
  • Jianying Shao
Original Article

Abstract

A model of shunting inhibitory cellular neural networks with mixed delays is proposed. Applying appropriate differential inequality techniques, several sufficient conditions are derived to ensure the existence and exponential stability of weighted pseudo-anti-periodic solutions for the proposed neural networks. Moreover, numerical examples are provided to show the validity and the advantages of the obtained results

Keywords

Weighted pseudo-anti-periodic solution Shunting inhibitory cellular neural network Exponential stability Mixed delay 

Mathematics Subject Classfication

34C25 34K13 34K25 

Notes

Acknowledgments

The authors would like to express their sincere appreciation to the editor and reviewers for their helpful comments in improving the presentation and quality of the paper. In particular, the authors express the sincere gratitude to Prof. Bingwen Liu (Jiaxing University) for the helpful discussion when this revision work was being carried out. This work was supported by the Natural Scientific Research Fund of Hunan Province of China (Grant Nos. 2016JJ6103, 2016JJ6104).

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Copyright information

© The Natural Computing Applications Forum 2016

Authors and Affiliations

  1. 1.College of Mathematics and Computer ScienceHunan University of Arts and ScienceChangdePeople’s Republic of China
  2. 2.College of Mathematics, Physics and Information EngineeringJiaxing UniversityJiaxingPeople’s Republic of China

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