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Stability of Hopfield Neural Networks with Time-Varying Delay

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Advances in Neural Networks – ISNN 2009 (ISNN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5551))

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Abstract

In this paper, the stability of Hopfield Neural Networks with Time-Varying Delay is investigated by means of Lyapunov functions and the generalized Halanay delay differential inequality. The obtained results are the algebraic criteria entirely and are obviously practical

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References

  1. Jiao, L.C.: Neural Network System Theory. The Press of Xidian University, Xian (1992)

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Author information

Authors and Affiliations

  1. Information School, Henan University of Finance and Economics, Zhengzhou, 450002, P.R. China

    Huimin Xiao

Authors
  1. Huimin Xiao
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Editor information

Editors and Affiliations

  1. Departamento de Control Automático, CINVESTAV-IPN, A.P. 14-740, Av.IPN 2508, 07360, México D.F., México

    Wen Yu

  2. Deptartment of Electrical and Computer Engineering, Stevens Institute of Technology, NJ 07030, Hoboken, USA

    Haibo He

  3. Dept. of Electrical and Computer Engineering, South Dakota School of Mines & Technology, 501 E. St. Joseph Street, Rapid City, SD 57701, USA

    Nian Zhang

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© 2009 Springer-Verlag Berlin Heidelberg

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Xiao, H. (2009). Stability of Hopfield Neural Networks with Time-Varying Delay. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01507-6_44

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  • DOI: https://doi.org/10.1007/978-3-642-01507-6_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01506-9

  • Online ISBN: 978-3-642-01507-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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