Forecasting Model of Holiday Tourism Requirement on the Basis of RBF Neural Network

Author

Guo Wensheng ; Du Junping ; Wang Ruijie

Author_Institution

Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing

Volume

1

fYear

2006

fDate

16-18 Oct. 2006

Firstpage

677

Lastpage

682

Abstract

For improving intellectualized management level of holiday tourism and making a contribution to the healthy, orderly and safely development of holiday tourism, we built the tourism requirement forecasting model on the basis of RBF neural network, realized the classification, analysed and forecasted the tourism status and realized the intellectualized management of holiday tourism. It was used to generate RBF net to perform function approximation. Random cluster and linear program are brought in to design and train this "mixed" RBF net

Keywords

forecasting theory; function approximation; radial basis function networks; travel industry; RBF neural network; function approximation; holiday tourism; linear program; mixed RBF net; random cluster; tourism requirement forecasting model; Artificial intelligence; Computer network management; Computer science; Economic forecasting; Engineering management; Neural networks; Predictive models; Research and development management; Technology forecasting; Technology management;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on

Conference_Location

Jinan

Print_ISBN

0-7695-2528-8

Type

conf

DOI

10.1109/ISDA.2006.153

Filename

4021521