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Hybrid data decomposition-based deep learning for Bitcoin prediction and algorithm trading 期刊论文
Financial Innovation, 2022, 卷号: 8, 期号: 1
Authors:  Li,Yuze;  Jiang,Shangrong;  Li,Xuerong;  Wang,Shouyang
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Bitcoin price  Variational mode decomposition  Deep learning  Price forecasting  Algorithmic trading  
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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Daily tourism volume forecasting  decomposition ensemble approach  sample entropy  kernel extreme learning machine  multi-kernel adaptive strategy  
A novel machine learning-based electricity price forecasting model based on optimal model selection strategy 期刊论文
ENERGY, 2022, 卷号: 238, 页码: 14
Authors:  Yang, Wendong;  Sun, Shaolong;  Hao, Yan;  Wang, Shouyang
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Electricity price  Forecasting  Hybrid model  Model selection  Kernel-based extreme learning machine  
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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Wind speed forecasting  Ensemble patch transform  Complete ensemble empirical mode  decomposition  Temporal convolutional network  Hybrid method  
Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm 期刊论文
RESOURCES POLICY, 2021, 卷号: 74, 页码: 10
Authors:  Du, Pei;  Guo, Ju'e;  Sun, Shaolong;  Wang, Shouyang;  Wu, Jing
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Metal prices forecasting  Data processing method  Optimized extreme learning machine  Hybrid forecasting model  
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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Crude oil price forecasting  Decomposition-ensemble method  Support vector machine  Multiscale strategy  Complexity analysis  
A New Hybrid VMD-ICSS-BiGRU Approach for Gold Futures Price Forecasting and Algorithmic Trading 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 卷号: 8, 期号: 6, 页码: 1357-1368
Authors:  Li, Yuze;  Wang, Shouyang;  Wei, Yunjie;  Zhu, Qing
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Gold  Forecasting  Autoregressive processes  Predictive models  Signal resolution  Deep learning  Mathematical model  Algorithmic trading  bidirectional gated recurrent unit (BiGRU)  gold futures price forecasting  variational mode decomposition (VMD)  
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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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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Air quality early-warning system  Length-changeable incremental extreme  learning machine  Hybrid ensemble model  Fuzzy evaluation  
Hybrid Regularized Cone-Beam Reconstruction for Axially Symmetric Object Tomography 期刊论文
ACTA MATHEMATICA SCIENTIA, 2021, 页码: 17
Authors:  Li, Xinge;  Wei, Suhua;  Xu, Haibo;  Chen, Chong
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high-energy X-ray radiography  cone-beam global reconstruction  inverse problem  total variation  alternating proximal gradient method