• DocumentCode
    3424233
  • Title

    Pseudo gradient search for solving nonlinear multiregression based on the Choquet integral

  • Author

    Guo, Bo ; Chen, Wei ; Wang, Zhenyuan

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Nebraska at Omaha, Omaha, NE, USA
  • fYear
    2009
  • fDate
    17-19 Aug. 2009
  • Firstpage
    180
  • Lastpage
    183
  • Abstract
    In some real optimization problems, the objective function may not be differentiable with respect to the unknown parameters at some points such that the gradient does not exist at those points. Replacing the classical gradient, this paper tries to use pseudo gradient search for solving a nonlinear optimization problem-nonlinear multiregression based on the Choquet integral with a linear core. It is a local search method with rapid search speed.
  • Keywords
    integral equations; nonlinear programming; regression analysis; search problems; Choquet integral; local search method; nonlinear multiregression; nonlinear optimization problem; objective function; pseudo gradient search; Computer networks; Computer science; Data mining; Genetic algorithms; Mathematics; Neural networks; Predictive models; Regression analysis; Search methods; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2009, GRC '09. IEEE International Conference on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-1-4244-4830-2
  • Type

    conf

  • DOI
    10.1109/GRC.2009.5255133
  • Filename
    5255133