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中国科学院数学与系统科学研究院机构知识库
KMS Of Academy of mathematics and systems sciences, CAS
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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
Authors:
Li, Zhongfei
;
Gan, Kai
;
Sun, Shaolong
;
Wang, Shouyang
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View/Download:35/0
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Submit date:2023/02/07
AdaBoost-ensemble
deep learning
hybrid data preprocessing-analysis strategy
LSTM
Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method
期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15
Authors:
Jiang, Fuxin
;
Zhang, Chengyuan
;
Sun, Shaolong
;
Sun, Jingyun
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View/Download:80/0
  |  
Submit date:2022/04/29
PM2.5 concentration forecasting
Complete ensemble empirical mode
decomposition with adaptive noise
Temporal convolutional
Data patterns
Deep learning
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
Authors:
Gan, Kai
;
Sun, Shaolong
;
Wang, Shouyang
;
Wei, Yunjie
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View/Download:204/0
  |  
Submit date: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
Authors:
Niu, Mingfei
;
Gan, Kai
;
Sun, Shaolong
;
Li, Fengying
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View/Download:72/0
  |  
Submit date:2018/07/30
PM2.5 concentration forecasting
Decomposition-ensemble learning paradigm
EEMD
PSR
LSSVM
A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting
期刊论文
ATMOSPHERIC ENVIRONMENT, 2016, 卷号: 134, 页码: 168-180
Authors:
Niu, Mingfei
;
Wang, Yufang
;
Sun, Shaolong
;
Li, Yongwu
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Submit date:2018/07/30
Complementary ensemble empirical mode decomposition
Grey wolf optimizer
Support vector regression
Hybrid decomposition-ensemble model
PM2.5 concentration forecasting