中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Seasonal and trend forecasting of tourist arrivals: An adaptive multiscale ensemble learning approach

文献类型:期刊论文

作者Xing, Guangyuan1; Sun, Shaolong2; Bi, Dan2; Guo, Ju-e2; Wang, Shouyang3,4,5
刊名INTERNATIONAL JOURNAL OF TOURISM RESEARCH
出版日期2022-01-28
页码18
关键词ensemble learning least square support vector regression seasonality tourism demand forecasting variational mode decomposition
ISSN号1099-2340
DOI10.1002/jtr.2512
英文摘要In this study, we propose an adaptive multiscale ensemble (AME) learning approach, which consists of variational mode decomposition (VMD) and least square support vector regression (LSSVR) for seasonal and trend forecasting of tourist arrivals. In the formulation of AME learning approach, the original tourist arrival series is decomposed into the trend, seasonal, and remaining volatility components. Then, ARIMA is used to forecast the trend component, SARIMA is used to forecast the seasonal component, and LSSVR is used to forecast the remaining volatility components. The empirical results demonstrate that our proposed AME learning approach can achieve higher forecasting accuracy.
资助项目National Natural Science Foundation of China[72101197] ; National Natural Science Foundation of China[71988101] ; Fundamental Research Funds for the Central Universities[SK2021007]
WOS研究方向Social Sciences - Other Topics
语种英语
WOS记录号WOS:000748176700001
出版者WILEY
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/59917]  
专题中国科学院数学与系统科学研究院
通讯作者Sun, Shaolong
作者单位1.Xi An Jiao Tong Univ, Sch Econ & Finance, Xian, Peoples R China
2.Xi An Jiao Tong Univ, Sch Management, Xian 710049, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Sch Econ & Management, Beijing, Peoples R China
5.Chinese Acad Sci, Ctr Forecasting Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Xing, Guangyuan,Sun, Shaolong,Bi, Dan,et al. Seasonal and trend forecasting of tourist arrivals: An adaptive multiscale ensemble learning approach[J]. INTERNATIONAL JOURNAL OF TOURISM RESEARCH,2022:18.
APA Xing, Guangyuan,Sun, Shaolong,Bi, Dan,Guo, Ju-e,&Wang, Shouyang.(2022).Seasonal and trend forecasting of tourist arrivals: An adaptive multiscale ensemble learning approach.INTERNATIONAL JOURNAL OF TOURISM RESEARCH,18.
MLA Xing, Guangyuan,et al."Seasonal and trend forecasting of tourist arrivals: An adaptive multiscale ensemble learning approach".INTERNATIONAL JOURNAL OF TOURISM RESEARCH (2022):18.

入库方式: OAI收割

来源:数学与系统科学研究院

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