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Robust Synchronization of Coupled Delayed Recurrent Neural Networks

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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

This paper investigates synchronization dynamics of a system of linearly and diffusively coupled identical delayed recurrent neural networks. A simple yet generic criterion for robust synchronization of such coupled recurrent neural networks is given. Furthermore, the theoretical result is applied to a typical coupled chaotic delayed Hopfied neural networks, and is also illustrated by numerical simulations.

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Author information

Authors and Affiliations

  1. Laboratory of Nonlinear Science, Institute of Mathematics, Fudan University, Shanghai, 200433, P. R. China

    Jin Zhou & Tianping Chen

  2. Department of Applied Mathematics and Physics, Hebei University of Technology, Tianjin, 300130, P. R. China

    Jin Zhou & Xiang Lan

Authors
  1. Jin Zhou
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  2. Tianping Chen
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  3. Xiang Lan
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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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Zhou, J., Chen, T., Lan, X. (2004). Robust Synchronization of Coupled Delayed Recurrent Neural Networks. 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_25

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  • DOI: https://doi.org/10.1007/978-3-540-28647-9_25

  • 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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