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A new PM2.5 concentration forecasting system based on AdaBoost-ensemble system with deep learning approach 期刊论文
JOURNAL OF FORECASTING, 2022, 页码: 22
作者:  Li, Zhongfei;  Gan, Kai;  Sun, Shaolong;  Wang, Shouyang
收藏  |  浏览/下载：99/0  |  提交时间：2023/02/07
AdaBoost-ensemble  deep learning  hybrid data preprocessing-analysis strategy  LSTM  
An innovative ensemble learning air pollution early-warning system for China based on incremental extreme learning machine 期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 9, 页码: 15
作者:  Du, Zongjuan;  Heng, Jiani;  Niu, Mingfei;  Sun, Shaolong
收藏  |  浏览/下载：143/0  |  提交时间：2022/04/02
Air quality early-warning system  Length-changeable incremental extreme  learning machine  Hybrid ensemble model  Fuzzy evaluation  
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：297/0  |  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  
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：160/0  |  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