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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：64/0  |  提交时间：2023/02/07
AdaBoost-ensemble  deep learning  hybrid data preprocessing-analysis strategy  LSTM  
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：250/0  |  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  
Application of decomposition-ensemble learning paradigm with phase space reconstruction for day-ahead PM2.5 concentration forecasting 期刊论文
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2017, 卷号: 196, 页码: 110-118
作者:  Niu, Mingfei;  Gan, Kai;  Sun, Shaolong;  Li, Fengying
收藏  |  浏览/下载：100/0  |  提交时间：2018/07/30
PM2.5 concentration forecasting  Decomposition-ensemble learning paradigm  EEMD  PSR  LSSVM