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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:33/0
  |  
Submit date:2023/02/07
AdaBoost-ensemble
deep learning
hybrid data preprocessing-analysis strategy
LSTM
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
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  |  
View/Download:119/0
  |  
Submit date:2022/04/29
Daily tourism volume forecasting
decomposition ensemble approach
sample entropy
kernel extreme learning machine
multi-kernel adaptive strategy
Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks
期刊论文
ENERGY, 2022, 卷号: 238, 页码: 22
Authors:
Li, Dan
;
Jiang, Fuxin
;
Chen, Min
;
Qian, Tao
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View/Download:107/0
  |  
Submit date:2022/04/02
Wind speed forecasting
Ensemble patch transform
Complete ensemble empirical mode
decomposition
Temporal convolutional network
Hybrid method
A novel multiscale forecasting model for crude oil price time series
期刊论文
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 卷号: 173, 页码: 15
Authors:
Li, Ranran
;
Hu, Yucai
;
Heng, Jiani
;
Chen, Xueli
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  |  
View/Download:88/0
  |  
Submit date:2022/04/02
Crude oil price forecasting
Decomposition-ensemble method
Support vector machine
Multiscale strategy
Complexity analysis
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
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
Authors:
Du, Zongjuan
;
Heng, Jiani
;
Niu, Mingfei
;
Sun, Shaolong
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  |  
View/Download:78/0
  |  
Submit date:2022/04/02
Air quality early-warning system
Length-changeable incremental extreme
learning machine
Hybrid ensemble model
Fuzzy evaluation
Take Bitcoin into your portfolio: a novel ensemble portfolio optimization framework for broad commodity assets
期刊论文
Financial Innovation, 2021, 卷号: 7, 期号: 1
Authors:
Li,Yuze
;
Jiang,Shangrong
;
Wei,Yunjie
;
Wang,Shouyang
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View/Download:89/0
  |  
Submit date:2021/10/26
Portfolio optimization
Bitcoin
Deep learning
Reinforcement learning
Variational mode decomposition
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
A novel hybrid decomposition-ensemble model based on VMD and HGWO for container throughput forecasting
期刊论文
APPLIED MATHEMATICAL MODELLING, 2018, 卷号: 57, 页码: 163-178
Authors:
Niu, Mingfei
;
Hu, Yueyong
;
Sun, Shaolong
;
Liu, Yu
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  |  
View/Download:109/0
  |  
Submit date:2018/07/30
Container throughput forecasting
Variational mode decomposition
Support vector regression
Hybridizing grey wolf optimization
Hybrid decomposition-ensemble model
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
Authors:
Xie, Gang
;
Zhang, Ning
;
Wang, Shouyang
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View/Download:125/0
  |  
Submit date:2018/07/25
Container throughput
Data characteristic analysis
Model selection
Time series forecasting
Decomposition-ensemble methodology