• DocumentCode
    3385167
  • Title

    A supervised fuzzy clustering for Radial Basis Function Neural Networks training

  • Author

    Tagliaferri, R. ; Staiano, A. ; Scala, D.

  • Author_Institution
    DMI, Salerno Univ., Baronissi, Italy
  • Volume
    3
  • fYear
    2001
  • fDate
    25-28 July 2001
  • Firstpage
    1804
  • Abstract
    In this paper we present a new learning algorithm for radial basis function neural networks (RBFNN´s) based on a supervised fuzzy clustering technique. Our methodology follows the conditional fuzzy clustering presented by W. Pedrycz (1998) and permits to obtain a completely automatic clustering, where data agglomeration is based on both input and output pattern values
  • Keywords
    fuzzy logic; learning (artificial intelligence); pattern clustering; radial basis function networks; automatic clustering; conditional fuzzy clustering; data agglomeration; learning algorithm; radial basis function neural networks training; supervised fuzzy clustering; Clustering algorithms; Clustering methods; Estimation theory; Function approximation; Fuzzy neural networks; Interpolation; Neural networks; Prototypes; Radial basis function networks; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-7078-3
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2001.943826
  • Filename
    943826
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3385167