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Can Perceptrons Identify Users of Body Lotion?

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Computational Intelligence. Theory and Applications (Fuzzy Days 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2206))

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Abstract

A real world problem (identifying users of body lotion from the answers given in a questionaire) is treated using a linear discriminant and a modified fault tolerant perceptron learning algorithm (pocket algorithm). As was to be expected, a fairly large error rate, which may nevertheless be acceptable for practical purposes, is obtained. A comparison with classical statistical methods (binary logistic regression) shows that the pocket algorithm does not perform as well as was previously predicted in general.

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Author information

Authors and Affiliations

  1. University of Applied Sciences Stralsund, Fachbereich Wirtschaft, Zur Schwedenschanze 15, D-18435, Stralsund, Germany

    B. -J. Falkowski & J. Nietzschmann

Authors
  1. B. -J. Falkowski
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  2. J. Nietzschmann
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Editor information

Editors and Affiliations

  1. Computer Science I, University of Dortmund, 44221, Dortmund, Germany

    Bernd Reusch

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© 2001 Springer-Verlag Berlin Heidelberg

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Falkowski, B.J., Nietzschmann, J. (2001). Can Perceptrons Identify Users of Body Lotion?. In: Reusch, B. (eds) Computational Intelligence. Theory and Applications. Fuzzy Days 2001. Lecture Notes in Computer Science, vol 2206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45493-4_55

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  • DOI: https://doi.org/10.1007/3-540-45493-4_55

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42732-2

  • Online ISBN: 978-3-540-45493-9

  • eBook Packages: Springer Book Archive

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