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Existence and Global Exponential Stability of Almost Periodic Solution for High-Order BAM Neural Networks with Delays on Time Scales

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Abstract

In this paper, by using a fixed point theorem and by constructing a suitable Lyapunov functional, we study the existence and global exponential stability of almost periodic solution for high-order bidirectional associative memory neural networks with delays on time scales. An examples shows the feasibility of our main results.

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Acknowledgments

This work is supported by the National Natural Sciences Foundation of People’s Republic of China under Grant 10971183 and this work was also supported by IRTSTYN.

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Authors and Affiliations

  1. Department of Mathematics, Yunnan University, Kunming, 650091, Yunnan, People’s Republic of China

    Yongkun Li, Chao Wang & Xia Li

Authors
  1. Yongkun Li
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  2. Chao Wang
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  3. Xia Li
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Correspondence to Yongkun Li.

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Li, Y., Wang, C. & Li, X. Existence and Global Exponential Stability of Almost Periodic Solution for High-Order BAM Neural Networks with Delays on Time Scales. Neural Process Lett 39, 247–268 (2014). https://doi.org/10.1007/s11063-013-9302-0

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  • DOI: https://doi.org/10.1007/s11063-013-9302-0

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