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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
Favorite  |  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
Favorite  |  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
Favorite  |  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
Favorite  |  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
Favorite  |  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
Favorite  |  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
Favorite  |  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
Favorite  |  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
Favorite  |  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
Favorite  |  View/Download：125/0  |  Submit date：2018/07/25
Container throughput  Data characteristic analysis  Model selection  Time series forecasting  Decomposition-ensemble methodology