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Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 12
Authors:  Sun, Shaolong;  Li, Mingchen;  Wang, Shouyang;  Zhang, Chengyuan
Favorite  |  View/Download:95/0  |  Submit date:2023/02/07
Tourism demand  Multi -step ahead forecasting  Privileged information  Machine learning  Kernel random vector functional link network  
Multi-scale analysis-driven tourism forecasting: insights from the peri-COVID-19 期刊论文
CURRENT ISSUES IN TOURISM, 2022, 页码: 24
Authors:  Li, Mingchen;  Zhang, Chengyuan;  Wang, Shouyang;  Sun, Shaolong
Favorite  |  View/Download:95/0  |  Submit date:2023/02/07
Tourism demand forecasting  divide and conquer  Facebook prophet  deep learning  peri-COVID-19 era  
A novel deep learning approach for tourism volume forecasting with tourist search data 期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2022, 页码: 15
Authors:  Li, Mingchen;  Zhang, Chengyuan;  Sun, Shaolong;  Wang, Shouyang
Favorite  |  View/Download:86/0  |  Submit date:2023/02/07
bi-directional gated recurrent unit  search engine data  stacked autoencoders  tourism volume forecasting  
Decomposition Methods for Tourism Demand Forecasting: A Comparative Study 期刊论文
JOURNAL OF TRAVEL RESEARCH, 2021, 页码: 18
Authors:  Zhang, Chengyuan;  Li, Mingchen;  Sun, Shaolong;  Tang, Ling;  Wang, Shouyang
Favorite  |  View/Download:145/0  |  Submit date:2022/04/02
tourism demand forecasting  decomposition methods  variational mode decomposition  decomposition and ensemble  machine learning  
科学与工程计算的方法和应用———基于国家自然科学基金创新研究群体项目研究成果的综述 期刊论文
中国科学基金, 2018, 卷号: 032, 期号: 002, 页码: 141
Authors:  曹礼群;  陈志明;  许志强;  袁亚湘;  张林波;  郑伟英;  周爱辉
Favorite  |  View/Download:188/0  |  Submit date:2020/01/10