• DocumentCode
    1491718
  • Title

    Nonlinear time series modelling and prediction using Gaussian RBF network with evolutionary structure optimisation

  • Author

    Sun-Gi Hong ; Oh, Sang-Keon ; Kim, Min-Soeng ; Lee, Ju-Jang

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea
  • Volume
    37
  • Issue
    10
  • fYear
    2001
  • fDate
    5/10/2001 12:00:00 AM
  • Firstpage
    639
  • Lastpage
    640
  • Abstract
    An evolutionary structure optimisation method for the Gaussian radial basis function network is presented for modelling and predicting nonlinear time series. The generalisation performance is significantly improved with a much smaller network, compared with that of the previous clustering and least square learning method
  • Keywords
    circuit optimisation; radial basis function networks; time series; Gaussian RBF network; Gaussian radial basis function network; clustering; evolutionary structure optimisation; generalisation performance; least square learning method; nonlinear time series; nonlinear time series modelling;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20010431
  • Filename
    923982
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1491718