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Neural Processing Letters

, Volume 43, Issue 3, pp 871–885 | Cite as

Existence and Exponential Stability of Periodic Solution for BAM Fuzzy Cohen–Grossberg Neural Networks with Mixed Delays

  • Hongmei Bao
Article

Abstract

In this paper, BAM fuzzy Cohen–Grossberg neural networks with mixed delays are considered. Using M-matrix theory and differential inequality techniques, some sufficient conditions for the existence and exponential stability of periodic solution to the neural networks are established. The results of this paper are completely new and complementary to the previously known results. Finally, an example is given to illustrate the effectiveness of our results obtained.

Keywords

BAM fuzzy Cohen–Grossberg neural networks Global exponential stability Periodic solution Mixed delays 

Mathematics Subject Classification

34K20 34K13 92B20 

Notes

Acknowledgments

The author would like to thank the editor and anonymous reviewers for their helpful comments and valuable suggestions, which have greatly improved the quality of this paper.

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Faculty of Mathematics and PhysicsHuaiyin Institute of TechnologyHuai’anPeople’s Republic of China

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