Title :
Tourism Demand Forecasting in Weifang Based on Artificial Neural Network
Author_Institution :
Sch. of Economic & Manage., Weifang Univ., Weifang, China
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;
Conference_Titel :
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0859-6
DOI :
10.1109/ICCASE.2011.5997767
