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
Link To Document