• DocumentCode
    3275104
  • Title

    Nonlinear function learning using optimal radial basis function networks

  • Author

    Krzyzak, Adam

  • Author_Institution
    Dept. of Comput. Sci., Concordia Univ., Montreal, Que.
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    93
  • Abstract
    We derive optimal MISE kernel radial basis networks in regression estimation problem
  • Keywords
    learning (artificial intelligence); mean square error methods; nonlinear functions; optimisation; radial basis function networks; statistical analysis; mean integrated square error; nonlinear function learning; optimal MISE kernel radial basis networks; regression estimation; Artificial intelligence; Computer science; Convergence; Electronic mail; Error analysis; Fourier transforms; Kernel; Neural networks; Polynomials; Radial basis function networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-7123-2
  • Type

    conf

  • DOI
    10.1109/ISIT.2001.935956
  • Filename
    935956
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3275104