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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
作者:  Zhao, Erlong;  Du, Pei;  Azaglo, Ernest Young;  Wang, Shouyang;  Sun, Shaolong
收藏  |  浏览/下载：168/0  |  提交时间：2022/04/29
Daily tourism volume forecasting  decomposition ensemble approach  sample entropy  kernel extreme learning machine  multi-kernel adaptive strategy  
A secondary-decomposition-ensemble learning paradigm for forecasting PM2.5 concentration 期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2018, 卷号: 9, 期号: 6, 页码: 989-999
作者:  Gan, Kai;  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie
收藏  |  浏览/下载：251/0  |  提交时间：2018/11/16
Secondary-decomposition-ensemble learning paradigm  Complementary ensemble empirical mode decomposition  Phase space reconstruction  Least square support vector regression  Hybrid intelligent algorithm  
Data characteristic analysis and model selection for container throughput forecasting within a decomposition-ensemble methodology 期刊论文
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2017, 卷号: 108, 页码: 160-178
作者:  Xie, Gang;  Zhang, Ning;  Wang, Shouyang
收藏  |  浏览/下载：140/0  |  提交时间：2018/07/25
Container throughput  Data characteristic analysis  Model selection  Time series forecasting  Decomposition-ensemble methodology  
amultiscalemodelingapproachincorporatingarimaandannsforfinancialmarketvolatilityforecasting 期刊论文
journalofsystemsscienceandcomplexity, 2014, 卷号: 27, 期号: 1, 页码: 225
作者:  Xiao Yi;  Xiao Jin;  Liu John;  Wang Shouyang
收藏  |  浏览/下载：97/0  |  提交时间：2020/01/10
Forecasting China's foreign trade volume with a kernel-based hybrid econometric-AI ensemble learning approach 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2008, 卷号: 21, 期号: 1, 页码: 1-19
作者:  Yu, Lean;  Wang, Shouyang;  Lai, Kin Keung
收藏  |  浏览/下载：122/0  |  提交时间：2018/07/30
artificial neural networks  error-correction vector auto-regression  foreign trade prediction  hybrid ensemble learning  kernel-based method  support vector regression