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Mechanisms of Self-organized Renormalizability

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Discovey Science (DS 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1532))

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Abstract

We construct mathematical models through the analysis of time serise data. But it is not so clear how we can justify the model which really describes the phenomena. It is not sufficient to judge that the models show similar time serises or space patterns. In general, the real systems are complex and the mathematical models are simple. We need more clear reason why the simple mathematical models really describe the complex phenomena

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Author information

Authors and Affiliations

  1. Department of Mathematical Sciences, Ibaraki University, Mito, 310-8512, Japan

    Hiroshi H. Hasegawa & Yoshikazu Ohtaki

Authors
  1. Hiroshi H. Hasegawa
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  2. Yoshikazu Ohtaki
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Editor information

Editors and Affiliations

  1. Department of Informatics, Kyushu University, Fukuoka, 812-8581, USA

    Setsuo Arikawa

  2. Institute of Scientific and Industrial Research Devision of Intelligent Systems Science, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan

    Hiroshi Motoda

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© 1998 Springer-Verlag Berlin Heidelberg

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Hasegawa, H.H., Ohtaki, Y. (1998). Mechanisms of Self-organized Renormalizability. In: Arikawa, S., Motoda, H. (eds) Discovey Science. DS 1998. Lecture Notes in Computer Science(), vol 1532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49292-5_36

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  • DOI: https://doi.org/10.1007/3-540-49292-5_36

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65390-5

  • Online ISBN: 978-3-540-49292-4

  • eBook Packages: Springer Book Archive

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