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Neuro-Fuzzy Inferenz-Systeme

  • Conference paper
Fuzzy Logic

Part of the book series: Informatik aktuell ((INFORMAT))

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Abstract

Bei der Erstellung von Fuzzy Systemen ist ein auf Expertenwissen basierender oder heuristischer Ansatz zur Modellierung der zugehörigen Steuerregeln notwendig. Zur Erstellung von Adaptiven Fuzzy Systemen bietet der Einsatz von Neuronalen Netzwerken eine methodische Alternative zum Entwurf und zur Optimierung der Fuzzy-SystemParameter. Neuro-Fuzzy Systeme, die, zusätzlich zur automatischen Adaption an die Umgebung, Fuzzy-Inferenzen durchführen können, werden in diesem Beitrag durch den Einsatz von ANFIS (Adaptive-NetworkBased Fuzzy Inference Systems) [Jan92] näher beschrieben.

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Author information

Authors and Affiliations

  1. Concept Systems GmbH, Monreposstr.55, D-71634, Ludwigsburg, Germany

    Kais Brahim

Authors
  1. Kais Brahim
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Editor information

Editors and Affiliations

  1. Lehrstuhl Informatik I, Universität Dortmund, Otto-Hahn-Straße 16, D-44227, Dortmund, Deutschland

    Bernd Reusch

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© 1993 Springer-Verlag Berlin Heidelberg

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Brahim, K. (1993). Neuro-Fuzzy Inferenz-Systeme. In: Reusch, B. (eds) Fuzzy Logic. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78694-5_18

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  • DOI: https://doi.org/10.1007/978-3-642-78694-5_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57524-5

  • Online ISBN: 978-3-642-78694-5

  • eBook Packages: Springer Book Archive

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