Published Online: 27 March 2013
Page Count: 8
Graduate Institute of Business Administration, National Taipei College of Business, Taipei City,
Dept. of Business Administration, National Taipei College of Business, Zhongzheng District, Taipei City,
Dept. of Business Management, National United Univ., Miaoli,
(Received 24 April 2012; accepted 27 November 2012)
This study develops a new hybrid model by integrating empirical mode decomposition (EMD) and support vector regression (SVR) for tourist arrivals forecasting. The proposed approach first uses EMD, which can adaptively decompose the complicated raw data into a finite set of intrinsic mode functions (IMFs) and a residue. After identifying the IMF components and residue, they are then modeled and forecasted using SVR. The final forecasting value can be obtained by the sum of these prediction results. Real data sets of international tourist arrivals to Taiwan were used. Experimental results show the effectiveness of the hybrid model when comparing it with other approaches.
Paper ID: JTE20120120