• DocumentCode
    2114543
  • Title

    Nonlinear approximations using elliptic basis function networks

  • Author

    Park, Jooyoung ; Sandberg, Irwin W.

  • Author_Institution
    Dept. of Control & Instrum. Eng., Korea Univ., Chungnam, South Korea
  • fYear
    1993
  • fDate
    15-17 Dec 1993
  • Firstpage
    3700
  • Abstract
    Sharp conditions are given under which real-valued functions of several real variables can be approximated arbitrarily well by finite linear combinations of elliptic basis functions. Also given is a related result concerning the representation of functions as a limit in the mean of integrals involving elliptic basis functions
  • Keywords
    feedforward neural nets; function approximation; integral equations; wavelet transforms; continuous wavelet transform; elliptic basis function networks; function approximation; integrals; nonlinear approximations; radial basis function networks; sharp conditions; wavelet networks; Control system synthesis; Ear; Electric variables control; Hilbert space; Instruments; Radial basis function networks; Smoothing methods; USA Councils; Vectors; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-1298-8
  • Type

    conf

  • DOI
    10.1109/CDC.1993.325907
  • Filename
    325907
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2114543