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A New Method for Complexity Reduction of Neuro-fuzzy Systems with Application to Differential Stroke Diagnosis

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Artificial Neural Networks – ICANN 2009 (ICANN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5769))

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Abstract

In the paper we propose a new method for designing and reduction of neuro-fuzzy systems for stroke diagnosis. The concept of the weighted parameterized triangular norms is applied and neuro-fuzzy systems based on fuzzy S-implications are derived. In subsequent stages we reduce the linguistic model. The results are implemented to solve the problem of stroke diagnosis.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Czȩstochowa University of Technology, Poland

    Krzysztof Cpałka & Leszek Rutkowski

  2. Department of Artificial Intelligence, Academy of Humanities and Economics in Łódź, Poland

    Krzysztof Cpałka & Leszek Rutkowski

  3. Institute of Neurology, Russian Academy of Medical Sciences, Russia

    Olga Rebrova

Authors
  1. Krzysztof Cpałka
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  2. Olga Rebrova
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  3. Leszek Rutkowski
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Editor information

Editors and Affiliations

  1. Dipartimento di Elettronica, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milano, Italy

    Cesare Alippi

  2. Department of Electrical and Computer Engineering, University of Cyprus, 75 Kallipoleos Street, 1678, Nicosia, Cyprus

    Marios Polycarpou , Christos Panayiotou  & Georgios Ellinas ,  & 

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Cpałka, K., Rebrova, O., Rutkowski, L. (2009). A New Method for Complexity Reduction of Neuro-fuzzy Systems with Application to Differential Stroke Diagnosis. In: Alippi, C., Polycarpou, M., Panayiotou, C., Ellinas, G. (eds) Artificial Neural Networks – ICANN 2009. ICANN 2009. Lecture Notes in Computer Science, vol 5769. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04277-5_44

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  • DOI: https://doi.org/10.1007/978-3-642-04277-5_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04276-8

  • Online ISBN: 978-3-642-04277-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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