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Pattern Recalling Property of Neural Network Modules Integrated by Chaos

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Complexity and Diversity

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Abstract

The role of chaotic behavior in neural network model has been studied by several researchers. We bring forward an evidence that the chaotic neural network modules can be integrated without controller. In our two-body neural network model, the chaotic behavior plays the role of a mechanism that integrates network modules. Integration of modules was realized by timeshared pattern recalling. This result provides another viewpoint of chaos in neural network model.

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Author information

Authors and Affiliations

  1. School of Information Science, Japan Advanced Institute of Science and Technology(JAIST), Tatsunokuchi, Ishikawa 923-12, Japan

    Akira Sano

Authors
  1. Akira Sano
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Editor information

Editors and Affiliations

  1. Department of Bioscience, Fukui Prefectural University, 4-1-1 Kenjojima, Matsuoka-cho, Yoshida-gun, Fukui, 910-11, Japan

    Eiichi Ryoku Nakamura

  2. Department of Applied Physics, Fukui University, 3-9-1 Bunkyo, Fukui, 910, Japan

    Kiyoshi Kudo  & Yoichi Tamagawa  & 

  3. Center of Information Science, Fukui Prefectural University, 4-1-1 Kenjojima, Matsuoka-cho, Yoshida-gun, Fukui, 910-11, Japan

    Osamu Yamakawa

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© 1997 Springer-Verlag Tokyo

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Sano, A. (1997). Pattern Recalling Property of Neural Network Modules Integrated by Chaos. In: Nakamura, E.R., Kudo, K., Yamakawa, O., Tamagawa, Y. (eds) Complexity and Diversity. Springer, Tokyo. https://doi.org/10.1007/978-4-431-66862-6_6

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  • DOI: https://doi.org/10.1007/978-4-431-66862-6_6

  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-66864-0

  • Online ISBN: 978-4-431-66862-6

  • eBook Packages: Springer Book Archive

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