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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:16/0  |  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:35/0  |  Submit date:2022/04/29
Daily tourism volume forecasting  decomposition ensemble approach  sample entropy  kernel extreme learning machine  multi-kernel adaptive strategy  
Seasonal and trend forecasting of tourist arrivals: An adaptive multiscale ensemble learning approach 期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2022, 页码: 18
Authors:  Xing, Guangyuan;  Sun, Shaolong;  Bi, Dan;  Guo, Ju-e;  Wang, Shouyang
Favorite  |  View/Download:35/0  |  Submit date:2022/04/02
ensemble learning  least square support vector regression  seasonality  tourism demand forecasting  variational mode decomposition  
Disease category-specific annotation of variants using an ensemble learning framework 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2022, 卷号: 23, 期号: 1, 页码: 15
Authors:  Cao, Zhen;  Huang, Yanting;  Duan, Ran;  Jin, Peng;  Qin, Zhaohui S.;  Zhang, Shihua
Favorite  |  View/Download:29/0  |  Submit date:2022/06/21
complex disease  disease category  functional annotation  non-coding variant  ensemble learning  
An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting 期刊论文
APPLIED ENERGY, 2022, 卷号: 306, 页码: 16
Authors:  Yang, Dongchuan;  Guo, Ju-E;  Sun, Shaolong;  Han, Jing;  Wang, Shouyang
Favorite  |  View/Download:38/0  |  Submit date:2022/04/02
Short-term load forecasting  Bivariate empirical mode decomposition  Decomposition-ensemble approach  Reconstruction  Bayesian optimization  Long short-term memory network  
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:33/0  |  Submit date:2022/04/29
PM2.5 concentration forecasting  Complete ensemble empirical mode  decomposition with adaptive noise  Temporal convolutional  Data patterns  Deep learning  
Decomposition Methods for Tourism Demand Forecasting: A Comparative Study 期刊论文
JOURNAL OF TRAVEL RESEARCH, 2021, 页码: 18
Authors:  Zhang, Chengyuan;  Li, Mingchen;  Sun, Shaolong;  Tang, Ling;  Wang, Shouyang
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tourism demand forecasting  decomposition methods  variational mode decomposition  decomposition and ensemble  machine 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:30/0  |  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:43/0  |  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:46/0  |  Submit date:2021/10/26
bagging  economic variables  ensemble deep learning  search intensity index  stacked autoencoder  tourism demand forecasting