• DocumentCode
    303223
  • Title

    On MISE convergence rates of radial basis functions networks

  • Author

    Krzyiak, A. ; Niemann, H.

  • Author_Institution
    Dept. of Comput. Sci., Concordia Univ., Montreal, Que., Canada
  • Volume
    1
  • fYear
    1996
  • fDate
    3-6 Jun 1996
  • Firstpage
    235
  • Abstract
    We investigate mean integrated squared error (MISE) convergence and the rate of convergence of a class of RBF networks. This paper extends L2 convergence results for radial basis nets given in Xu, Krzyzak and Yuille (1994). We obtain tighter bounds and under milder conditions for MISE than those obtained previously for L2 error
  • Keywords
    approximation theory; convergence; feedforward neural nets; L2 convergence results; MISE convergence rates; mean integrated squared error; radial basis functions networks; Approximation error; Collaboration; Computer errors; Computer science; Convergence; H infinity control; Kernel; Neural networks; Radial basis function networks; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1996., IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-3210-5
  • Type

    conf

  • DOI
    10.1109/ICNN.1996.548897
  • Filename
    548897
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=303223