• DocumentCode
    954006
  • Title

    Kriging: a useful tool for electromagnetic device optimization

  • Author

    Lebensztajn, Luiz ; Marretto, Carina Alexandra Rondini ; Costa, Maurício Caldora ; Coulomb, Jean-Louis

  • Author_Institution
    Lab. d´´Electrotechnique de Grenoble, France
  • Volume
    40
  • Issue
    2
  • fYear
    2004
  • fDate
    3/1/2004 12:00:00 AM
  • Firstpage
    1196
  • Lastpage
    1199
  • Abstract
    This paper deals with the use of the Kriging models for objective function approximations and their use on electromagnetic device optimization. The models are compared with some radial basis function neural networks and with the diffuse element method. Comparative tests are done on an analytical function and on the TEAM workshop problem 25.
  • Keywords
    electromagnetic devices; finite element analysis; function approximation; optimisation; radial basis function networks; Kriging; approximation techniques; diffuse element method; electromagnetic device optimization; finite-element method; neural networks; objective function approximations; radial basis function; Electromagnetic devices; Electromagnetic modeling; Equations; Function approximation; Interpolation; Maximum likelihood estimation; Radial basis function networks; Sampling methods; Testing; Vectors;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2004.824542
  • Filename
    1284633
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=954006