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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  
A novel machine learning-based electricity price forecasting model based on optimal model selection strategy 期刊论文
ENERGY, 2022, 卷号: 238, 页码: 14
Authors:  Yang, Wendong;  Sun, Shaolong;  Hao, Yan;  Wang, Shouyang
Favorite  |  View/Download:32/0  |  Submit date:2022/04/02
Electricity price  Forecasting  Hybrid model  Model selection  Kernel-based extreme learning machine  
Tourism demand forecasting: An ensemble deep learning approach 期刊论文
TOURISM ECONOMICS, 2021, 页码: 29
Authors:  Sun, Shaolong;  Li, Yanzhao;  Guo, Ju-e;  Wang, Shouyang
Favorite  |  View/Download:43/0  |  Submit date:2021/10/26
bagging  economic variables  ensemble deep learning  search intensity index  stacked autoencoder  tourism demand forecasting  
A Clustering-Based Nonlinear Ensemble Approach for Exchange Rates Forecasting 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 6, 页码: 2284-2292
Authors:  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie;  Zhang, Guowei
Favorite  |  View/Download:62/0  |  Submit date:2020/06/30
Forecasting  Exchange rates  Predictive models  Self-organizing feature maps  Clustering algorithms  exchange rates forecasting  kernel-based extreme learning machine (KELM)  nonlinear ensemble