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Stability of Discrete Hopfield Networks with Delay in Serial Mode

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Book cover 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

Discrete Hopfield neural networks with delay are extension of discrete Hopfield neural networks. The stability of the networks is known to be bases of successful applications of the networks. The stability of discrete Hopfield neural networks with delay is mainly investigated in serial mode. Several new sufficient conditions for the networks with delay converging towards a stable state are obtained. The obtained results here generalize the existing results on stability of both discrete Hopfield neural networks without delay and with delay in serial mode.

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References

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Author information

Authors and Affiliations

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

    Runnian Ma & Youmin Xi

  2. Department of Engineering Mechanics, Northwester Plytechnical University, Xi’an, 710072, China

    Hangshan Gao

Authors
  1. Runnian Ma
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  2. Youmin Xi
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  3. Hangshan Gao
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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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Ma, R., Xi, Y., Gao, H. (2004). Stability of Discrete Hopfield Networks with Delay in Serial Mode. 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_22

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  • DOI: https://doi.org/10.1007/978-3-540-28647-9_22

  • 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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