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Adaptive Information System for Data Approximation Problems

  • Conference paper
Fuzzy Control

Part of the book series: Advances in Soft Computing ((AINSC,volume 6))

Abstract

An adaptive information system is constructed for the approximation of a multidimensional data base. Such a construction problem can be regarded as an approximation of a multivariate real-valued function that is known in a discrete number of points. That set of points forming the multidimensional data base is called a training set TRE for the adaptive information system. The constructed system contains a module of one-conditional fuzzy rules consequent parts of which are artificial feed-forward neural networks. The numerical data contained in TRE are used to construct premise parts of each rule and membership functions of fuzzy sets involved in them. They are specified with the help of a clustering analysis of TRE. For each fuzzy rule the neural network appearing as its consequent part is trained on the corresponding cluster as on its subdomain In that way the cluster analysis can supply a knowledge in designing the approximator.

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Author information

Authors and Affiliations

  1. Polish-Japanese Institute of Information Technology, ul. Koszykowa 86, PL-02-008, Warszawa, Poland

    Witold Kosiński

  2. Center of Mechanics and Information Technology Inst. Fund. Technol. Research, Polish Academy of Sciences, IPPT PAN, PL-00-049, Warszawa, Poland

    Witold Kosiński & Martyna Weigl

  3. Department of Mathematics, Technology and Natural Sciences, Pedagogical University of Bydgoszcz, PL-85-064, Bydgoszcz, Poland

    Witold Kosiński

  4. Polska Telefonia Cyfrowa, ERA GSM, PL-02-222, Warszawa, Poland

    Martyna Weigl

Authors
  1. Witold Kosiński
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  2. Martyna Weigl
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Editor information

Editors and Affiliations

  1. Institute of Process Technique, Automation and Measuring Technique (IPM), University of Applied Sciences Zittau/Görlitz, Theodor-Körner-Allee 16, 02763, Zittau, Germany

    Rainer Hampel , Michael Wagenknecht  & Nasredin Chaker ,  & 

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© 2000 Springer-Verlag Berlin Heidelberg

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Kosiński, W., Weigl, M. (2000). Adaptive Information System for Data Approximation Problems. In: Hampel, R., Wagenknecht, M., Chaker, N. (eds) Fuzzy Control. Advances in Soft Computing, vol 6. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1841-3_7

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  • DOI: https://doi.org/10.1007/978-3-7908-1841-3_7

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1327-2

  • Online ISBN: 978-3-7908-1841-3

  • eBook Packages: Springer Book Archive

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