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Rbf Centers Initialization Using Fuzzy Clustering Technique For Function Approximation Problems

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Author Info

  • Guillén, A.
  • Rojas, I.
  • González, J.
  • Pomares, H.
  • Herrera, L.J.

    (University of Granada)

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    Abstract

    In this paper, a new algorithm for RBF centers initialization for functional approximation problems is proposed. The design of the algorithm is inspired in previous clustering algorithms but adding some features to adapt the algorithm to the characteristics of our problem. We compare the results provided by our new algorithm with the results provided by the algorithms it is based on.

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    Bibliographic Info

    Article provided by International Association for Fuzzy-set Management and Economy (SIGEF) in its journal FUZZY ECONOMIC REVIEW.

    Volume (Year): X (2005)
    Issue (Month): 2 (November)
    Pages: 27-44

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    Handle: RePEc:fzy:fuzeco:v:x:y:2005:i:2:p:27-44

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    Related research

    Keywords: Neural networks; radial basis functions; function approximation; clustering;

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