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 :
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