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Local Stability and Bifurcation in a Model of Delayed Neural Network

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Advances in Neural Networks – ISNN 2004 (ISNN 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3173))

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Abstract

A system of n-units neural network with coupled cells is investigated, the local stability of null solution is considered, and the parameter values of the periodic solution bifurcation are given.

This research is supported by the National Natural Science Foundation of China (No.10161007) and the Science Foundation of Education Department of Yunnan, China.

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References

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Author information

Authors and Affiliations

  1. Department of Mathematics, Shanghai University, Shanghai, 200436, P.R.China

    Yiping Lin & Zengrong Liu

  2. Department of Applied Mathematics, Kunming University of Science and Technology, Kunming, 650093, P.R.China

    Yiping Lin

Authors
  1. Yiping Lin
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  2. Zengrong Liu
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Editor information

Editors and Affiliations

  1. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, China

    Fu-Liang Yin

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

    Jun Wang

  3. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, Liaoning, China

    Chengan Guo

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© 2004 Springer-Verlag Berlin Heidelberg

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Lin, Y., Liu, Z. (2004). Local Stability and Bifurcation in a Model of Delayed Neural Network. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks – ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28647-9_12

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  • DOI: https://doi.org/10.1007/978-3-540-28647-9_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22841-7

  • Online ISBN: 978-3-540-28647-9

  • eBook Packages: Springer Book Archive

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