• DocumentCode
    3653860
  • Title

    Radial basis function networks in nonparametric classification and function learning

  • Author

    B. Kegl;A. Krzyzak;H. Niemann

  • Author_Institution
    Dept. of Comput. Sci., Concordia Univ., Montreal, Que., Canada
  • Volume
    1
  • fYear
    1998
  • Firstpage
    565
  • Abstract
    In this paper we apply normalized radial basis function networks to function learning and in nonparametric classification. A simple parameter learning technique is proposed and convergence and the rates of convergence of the empirically trained networks are studied theoretically and in computer experiments.
  • Keywords
    "Radial basis function networks","Intelligent networks","Convergence","Kernel","Pattern recognition","Vectors","Approximation error","Estimation error","Computer science","Computer networks"
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.711206
  • Filename
    711206
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3653860