• DocumentCode
    2478374
  • Title

    The establishment of tourism holiday flow prediction model

  • Author

    Junping, Du ; Ruijie, Wang ; Xu-yan, Tu

  • Author_Institution
    Beijing Key Lab. of Intell. Telecommun.,Software & Multimedia, Beijing Univ. of Posts & Telecommun., Beijing
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    1091
  • Lastpage
    1095
  • Abstract
    In this paper, based on the analysis of tourism holiday information, we put forward and build up the flow prediction model of holiday tourism and establish the theoretical architecture of the model. Then we generalize nonlinearly the flow prediction model of holiday tourism, and predict respectively to the linear and nonlinear flow model through the maximum likelihood method and RBF neural network model. The holiday tourism flow prediction model deeply uncovers the rule of the holiday tourism market and establishes the theoretical basis for the prediction work of tourism holiday market.
  • Keywords
    neural nets; radial basis function networks; travel industry; flow prediction model; holiday tourism; maximum likelihood method; neural network model; radial basis function networks; Automation; Control theory; Forward contracts; Information analysis; Intelligent control; Laboratories; Mathematical model; Neural networks; Predictive models; Telecommunication computing; Flow; Prediction Model; RBF Network; Tourism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593074
  • Filename
    4593074