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A brief logopedics for the data used in a Neuro-fuzzy milieu

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Fuzzy Logic in Artificial Intelligence (FLAI 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1566))

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Abstract

A neuro-fuzzy reasoning algorithm, Fmta, which was constructed by the author, was applied to empiric data. This data comprised the ages, heights and weights of 126 schoolboys, and the aim was to explain and/or predict the weights of the system according to their ages and heights. Fmta yielded satisfactory results when compared with linear regression analysis, generalized mean and the Takagi-Sugeno algorithm.

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Authors and Affiliations

  1. Dept. of Economics & Management, University of Helsinki, PO Box 27, FIN-00014, Helsinki, Finland

    Vesa A. Niskanen

Authors
  1. Vesa A. Niskanen
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Editor information

Anca L. Ralescu James G. Shanahan

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© 1999 Springer-Verlag Berlin Heidelberg

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Niskanen, V.A. (1999). A brief logopedics for the data used in a Neuro-fuzzy milieu. In: Ralescu, A.L., Shanahan, J.G. (eds) Fuzzy Logic in Artificial Intelligence. FLAI 1997. Lecture Notes in Computer Science, vol 1566. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095081

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  • DOI: https://doi.org/10.1007/BFb0095081

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66374-4

  • Online ISBN: 978-3-540-48358-8

  • eBook Packages: Springer Book Archive

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