• DocumentCode
    2544921
  • Title

    Parameter selection for SVM using niches genetic algorithm in determined range

  • Author

    Xusheng, Gan ; Wei, Cong ; Yongxiang, Lu

  • Author_Institution
    XiJing Coll., Xi´´an, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    492
  • Lastpage
    496
  • Abstract
    An automatic selection method for Support Vector Machine (SVM) parameters using niches genetic algorithm in determined range is proposed. Firstly, the limit range of each parameter is determined by analyzing relation between SVM parameters and model capability. Then regard the determined range as search region and use the niches genetic algorithm to automatically search the optimal parameter values of SVM. The experiments are given to illustrate the effectiveness of the method.
  • Keywords
    genetic algorithms; support vector machines; automatic selection method; determined range; niches genetic algorithm; parameter selection; support vector machines; Computational efficiency; Educational institutions; Gallium nitride; Genetic algorithms; Genetic engineering; Humans; Kernel; Programmable logic arrays; Support vector machines; Testing; Genetic Algorithm; Niches; Share Function; Support Vector Machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5477667
  • Filename
    5477667