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Ensemble wavelet-learning approach for predicting the effective mechanical properties of concrete composite materials 期刊论文
COMPUTATIONAL MECHANICS, 2022, 页码: 31
Authors:  Linghu, Jiale;  Dong, Hao;  Cui, Junzhi
Favorite  |  View/Download:28/0  |  Submit date:2022/06/21
Concrete composite materials  Weibull distribution  Equivalent mechanical parameters  Artificial neural networks  Wavelet transform  
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:46/0  |  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:63/0  |  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:44/0  |  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:39/0  |  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:40/0  |  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:52/0  |  Submit date:2021/10/26
Portfolio optimization  Bitcoin  Deep learning  Reinforcement learning  Variational mode decomposition  
Tourism demand forecasting: An ensemble deep learning approach 期刊论文
TOURISM ECONOMICS, 2021, 页码: 29
Authors:  Sun, Shaolong;  Li, Yanzhao;  Guo, Ju-e;  Wang, Shouyang
Favorite  |  View/Download:57/0  |  Submit date:2021/10/26
bagging  economic variables  ensemble deep learning  search intensity index  stacked autoencoder  tourism demand forecasting  
Collective stochastic dynamics of the Cucker-Smale ensemble under uncertain communication 期刊论文
JOURNAL OF DIFFERENTIAL EQUATIONS, 2021, 卷号: 284, 页码: 39-82
Authors:  Ha, Seung-Yeal;  Jung, Jinwook;  Rockner, Michael
Favorite  |  View/Download:73/0  |  Submit date:2021/06/01
Cucker-Smale model  Emergence  Flocking  Random communication  Stochastic kinetic Cucker-Smale equation  
Combining STRIPAT model and gated recurrent unit for forecasting nature gas consumption of China 期刊论文
MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE, 2020, 页码: 19
Authors:  Xiao, Yi;  Li, Keying;  Hu, Yi;  Xiao, Jin;  Wang, Shouyang
Favorite  |  View/Download:69/0  |  Submit date:2020/09/23
Natural gas consumption forecasting  Emission reduction  Deep learning  STRIPAT model  Gated recurrent unit model  Bagging