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
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;
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
DOI :
10.1109/WCICA.2008.4593074