Seasonal SVR with FOA algorithm for single-step and multi-step ahead forecasting in monthly inbound tourist flow
作者：
Highlights：
• FOA is implemented to automatically perform the parameter selection in SVR model.
• Hybridize the seasonal adjustment mechanism into the SVR model.
• Examine the forecasting models for single-step-ahead and multi-step-ahead.
• Prove that SFOASVR is a reliable forecasting tool in inbound tourist arrivals.
• The hybrid technique is found to outperform traditional forecasting models.
摘要
•FOA is implemented to automatically perform the parameter selection in SVR model.•Hybridize the seasonal adjustment mechanism into the SVR model.•Examine the forecasting models for single-step-ahead and multi-step-ahead.•Prove that SFOASVR is a reliable forecasting tool in inbound tourist arrivals.•The hybrid technique is found to outperform traditional forecasting models.
论文关键词：Support vector regression,Fruit fly optimization,Forecasting,Tourist flow
论文评审过程：Received 5 December 2015, Revised 15 July 2016, Accepted 16 July 2016, Available online 18 July 2016, Version of Record 29 September 2016.
论文官网地址：https://doi.org/10.1016/j.knosys.2016.07.023
