International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Oct. 2019
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 79
Paper Published : 1191
No. of Authors : 2992
  Journal Paper

Paper Title
Forecasting International Tourism Demand to Vietnam using Artificial Neural Network

Abstract
This paper presents a method which uses an artificial neural network (ANN) to forecast international tourism demand to Vietnam. In our work, the monthly statistical data between 2005 and 2016 from Vietnam National Administration of Tourism were used for training, and the data in 2017 was used for testing. The ANN model used in the study is a nonlinear autoregressive neural network where forecasting values are inferred from the previous observed data. Moreover, the ANN is investigated into variety of data preprocessing techniques including deseasoning and detrending. To evaluate the accuracies, the mean of absolute deviation was considered. The experimental results have shown that the use of the ANN with deseasioning gives superior results than the other preprocessing data techniques. Keywords - Neural network, Detrending and Deseasoning, International visitors demand forecasting.


Author - Tran Thi My Dung, Ngo Truc Hung, Tran Thi Tham

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| Published on 2019-05-16
   
   
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