• DocumentCode
    1109860
  • Title

    Orthogonal least-squares learning algorithm with local adaptation process for the radial basis function networks

  • Author

    Chng, Eng-Song ; Yang, Howard Hua ; Bös, Siegfried

  • Author_Institution
    RIKEN, Inst. of Phys. & Chem. Res., Saitama, Japan
  • Volume
    3
  • Issue
    8
  • fYear
    1996
  • Firstpage
    253
  • Lastpage
    255
  • Abstract
    We introduce a local adaptation process in the orthogonal least squares (OLS) learning algorithm for the selection of radial basis function (RBF) networks. Using simulation results, we show that the proposed algorithm can find significantly better subset models than the OLS algorithm.
  • Keywords
    feedforward neural nets; learning (artificial intelligence); multilayer perceptrons; local adaptation process; orthogonal least-squares learning algorithm; radial basis function networks; simulation results; subset models; Equations; Fiber reinforced plastics; Laboratories; Least squares methods; Linear regression; Radial basis function networks; Signal processing algorithms; Training data; Vectors;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.511811
  • Filename
    511811
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1109860