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Convergence Study of Discrete Neural Networks with Delay

  • Conference paper
Neural Information Processing (ICONIP 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4232))

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Abstract

The convergence of discrete Hopfield neural networks with delay is mainly investigated and some results on the convergence are given. Several new sufficient conditions for the networks with delay converging towards a limit cycle with length at most 2 are obtained. Also, several conditions for the networks with delay converging towards a limit cycle with length 2 are investigated. All results established here extend the previous results on the convergence of both discrete Hopfield neural networks without delay and with delay in parallel updating mode.

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References

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Author information

Authors and Affiliations

  1. School of Science, Xi’an Jiaotong University, Xi’an, 710049, China

    Run-Nian Ma

  2. University Key Lab of Information Sciences and Engineering, Dalian University, 116622, China

    Run-Nian Ma

  3. Institute of Microelectronics, Tsinghua University, Beijing, 100084, China

    Guo-Qiang Bai

Authors
  1. Run-Nian Ma
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  2. Guo-Qiang Bai
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science and Engineering, The Chinese Univ. of Hong Kong, Shatin, N.T., Hong Kong

    Irwin King

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

    Jun Wang

  3. The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

    Lai-Wan Chan

  4. Department of Computer Science and Engineering & Center for Cognitive Science, The Ohio State University, OH 43210, Columbus

    DeLiang Wang

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© 2006 Springer-Verlag Berlin Heidelberg

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Ma, RN., Bai, GQ. (2006). Convergence Study of Discrete Neural Networks with Delay. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893028_62

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  • DOI: https://doi.org/10.1007/11893028_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46479-2

  • Online ISBN: 978-3-540-46480-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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