DocumentCode
2956077
Title
Tourism Demand Forecasting in Weifang Based on Artificial Neural Network
Author
Liu Xiuha
Author_Institution
Sch. of Economic & Manage., Weifang Univ., Weifang, China
fYear
2011
fDate
30-31 July 2011
Firstpage
1
Lastpage
4
Abstract
In the tourism industry, the source plays critical role in its existence and development. According to the number of visitors, tourist receptions determine the scale of tourist reception facilities. Therefore, it is very important and necessary to predict the number of visitors. This paper presents a forecasting model of travel demand based on artificial neural network, and verifies the model by analyzing the number of tourist visitors in recent years in Weifang.
Keywords
forecasting theory; neural nets; travel industry; Weifang; artificial neural network; tourism demand forecasting; tourism industry; tourist reception facilities; travel demand; Artificial neural networks; Biological neural networks; Mathematical model; Modeling; Neurons; Predictive models; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4577-0859-6
Type
conf
DOI
10.1109/ICCASE.2011.5997767
Filename
5997767
Link To Document