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International Symposium on Neural Networks

ISNN 2006: Advances in Neural Networks - ISNN 2006 pp 279–284Cite as

Existence of Periodic Solution of BAM Neural Network with Delay and Impulse

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3971))

Abstract

By using the continuation theorem for Mawhin’s coincidence degree and some analytical techniques, several sufficient conditions are obtained ensuring existence of periodic solution of BAM neural networks with variant coefficients, delays and impulse.

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References

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Author information

Authors and Affiliations

  1. College of Computer Science, Chongqing University, Chongqing, 400030, China

    Hui Wang, Xiaofeng Liao, Chuandong Li & Degang Yang

  2. Department of Mathematics, Leshan Normal College, 614003, China

    Hui Wang

  3. College of Mathematics and Computer Science, Chongqing Normal University, Chongqing, 400047, China

    Degang Yang

Authors
  1. Hui Wang
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  2. Xiaofeng Liao
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  3. Chuandong Li
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  4. Degang Yang
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd., 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Wang, H., Liao, X., Li, C., Yang, D. (2006). Existence of Periodic Solution of BAM Neural Network with Delay and Impulse. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11759966_43

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  • DOI: https://doi.org/10.1007/11759966_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34439-1

  • Online ISBN: 978-3-540-34440-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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