Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach

no code implementations • 19 Feb 2020 • Shaolong Suna, Dan Bi, Ju-e Guo, Shouyang Wang

In this study, a new adaptive multiscale ensemble (AME) learning approach incorporating variational mode decomposition (VMD) and least square support vector regression (LSSVR) is developed for short-, medium-, and long-term seasonal and trend forecasting of tourist arrivals.

Ensemble Learning