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Forecasting daily tourism volume: a hybrid approach with CEMMDAN and multi-kernel adaptive ensemble 期刊论文
CURRENT ISSUES IN TOURISM, 2022, 页码: 20
Authors:  Zhao, Erlong;  Du, Pei;  Azaglo, Ernest Young;  Wang, Shouyang;  Sun, Shaolong
Favorite  |  View/Download:35/0  |  Submit date:2022/04/29
Daily tourism volume forecasting  decomposition ensemble approach  sample entropy  kernel extreme learning machine  multi-kernel adaptive strategy  
Seasonal and trend forecasting of tourist arrivals: An adaptive multiscale ensemble learning approach 期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2022, 页码: 18
Authors:  Xing, Guangyuan;  Sun, Shaolong;  Bi, Dan;  Guo, Ju-e;  Wang, Shouyang
Favorite  |  View/Download:33/0  |  Submit date:2022/04/02
ensemble learning  least square support vector regression  seasonality  tourism demand forecasting  variational mode decomposition  
An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting 期刊论文
APPLIED ENERGY, 2022, 卷号: 306, 页码: 16
Authors:  Yang, Dongchuan;  Guo, Ju-E;  Sun, Shaolong;  Han, Jing;  Wang, Shouyang
Favorite  |  View/Download:38/0  |  Submit date:2022/04/02
Short-term load forecasting  Bivariate empirical mode decomposition  Decomposition-ensemble approach  Reconstruction  Bayesian optimization  Long short-term memory network  
Estimating the reaction of Bitcoin prices to the uncertainty of fiat currency 期刊论文
RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2021, 卷号: 58, 页码: 16
Authors:  Jin, Xuejun;  Zhu, Keer;  Yang, Xiaolan;  Wang, Shouyang
Favorite  |  View/Download:33/0  |  Submit date:2022/04/02
Bitcoin  Fiat currency  Empirical mode decomposition  Event analysis  
Air pollution forecasting with multivariate interval decomposition ensemble approach 期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 12, 页码: 14
Authors:  Dong, Yawei;  Zhang, Chengyuan;  Niu, Mingfei;  Wang, Shouyang;  Sun, Shaolong
Favorite  |  View/Download:33/0  |  Submit date:2022/04/02
Daily PM 10 concentration forecast  Air quality  Interval forecasting  Noise-assisted multivariate empirical mode  decomposition  Maximum mutual information  
A new decomposition ensemble approach for tourism demand forecasting: Evidence from major source countries in Asia-Pacific region 期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2021, 页码: 14
Authors:  Zhang, Chengyuan;  Jiang, Fuxin;  Wang, Shouyang;  Sun, Shaolong
Favorite  |  View/Download:58/0  |  Submit date:2021/04/26
artificial intelligence  Asia‐  Pacific region  decomposition ensemble approach  NA‐  MEMD  tourism demand forecasting  
Interval forecasting of exchange rates: a new interval decomposition ensemble approach 期刊论文
INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2020, 页码: 28
Authors:  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie
Favorite  |  View/Download:70/0  |  Submit date:2020/05/24
Exchange rate forecasting  Interval-valued data  Autoregressive model  Neural networks  Bivariate empirical mode decomposition  
A decomposition-ensemble approach for tourism forecasting 期刊论文
ANNALS OF TOURISM RESEARCH, 2020, 卷号: 81, 页码: 16
Authors:  Xie, Gang;  Qian, Yatong;  Wang, Shouyang
Favorite  |  View/Download:74/0  |  Submit date:2020/06/30
Tourism demand  Complete ensemble empirical mode decomposition with adaptive noise  Data characteristic analysis  Time series forecasting  
A new multiscale decomposition ensemble approach for forecasting exchange rates 期刊论文
ECONOMIC MODELLING, 2019, 卷号: 81, 页码: 49-58
Authors:  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie
Favorite  |  View/Download:80/0  |  Submit date:2020/01/10
Exchange rates forecasting  Variational mode decomposition  Support vector regression  Support vector neural network  Ensemble learning  
A New Approach for Stock Price Analysis and Prediction Based on SSA and SVM 期刊论文
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2019, 卷号: 18, 期号: 1, 页码: 287-310
Authors:  Xiao, Jihong;  Zhu, Xuehong;  Huang, Chuangxia;  Yang, Xiaoguang;  Wen, Fenghua;  Zhong, Meirui
Favorite  |  View/Download:90/0  |  Submit date:2019/03/11
Stock price  singular spectrum analysis  support vector machine  combined model