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An extreme bias-penalized forecast combination approach to commodity price forecasting 期刊论文
INFORMATION SCIENCES, 2022, 卷号: 615, 页码: 774-793
作者:  Zhang, Yifei;  Wang, Jue;  Yu, Lean;  Wang, Shouyang
收藏  |  浏览/下载：67/0  |  提交时间：2023/02/07
Forecast combination  Elastic net  Extreme bias  Weight-sparsity  Artificial bee colony algorithm  
A multi-granularity heterogeneous combination approach to crude oil price forecasting 期刊论文
ENERGY ECONOMICS, 2020, 卷号: 91, 页码: 9
作者:  Wang, Jue;  Zhou, Hao;  Hong, Tao;  Li, Xiang;  Wang, Shouyang
收藏  |  浏览/下载：145/0  |  提交时间：2021/01/14
Crude oil Price  Forecast combination  Feature selection  Multi-granularity  Artificial bee colony  
Artificial Bee Colony Algorithm Based on Novel Mechanism for Fuzzy Portfolio Selection 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 卷号: 27, 期号: 5, 页码: 966-978
作者:  Gao, Weifeng;  Sheng, Hailong;  Wang, Jue;  Wang, Shouyang
收藏  |  浏览/下载：180/0  |  提交时间：2020/01/10
Artificial bee colony algorithm (ABC)  direction learning  elite learning  fuzzy portfolio selection  search direction  step size  
Crude oil price forecasting based on internet concern using an extreme learning machine 期刊论文
INTERNATIONAL JOURNAL OF FORECASTING, 2018, 卷号: 34, 期号: 4, 页码: 665-677
作者:  Wang, Jue;  Athanasopoulos, George;  Hyndman, Rob J.;  Wang, Shouyang
收藏  |  浏览/下载：185/0  |  提交时间：2018/11/16
Crude oil futures price  Internet concern  BEMD  ELM  
Portfolio selection under different attitudes in fuzzy environment 期刊论文
INFORMATION SCIENCES, 2018, 卷号: 462, 页码: 278-289
作者:  Zhou, Xiaoyang;  Wang, Jue;  Yang, Xiangping;  Lev, Benjamin;  Tu, Yan;  Wang, Shouyang
收藏  |  浏览/下载：179/0  |  提交时间：2018/10/07
Portfolio selection  Conservative-neutral-aggressive attitude  Fuzzy variable  Value at risk, epsilon-constraint method  
A semi-heterogeneous approach to combining crude oil price forecasts 期刊论文
INFORMATION SCIENCES, 2018, 卷号: 460, 页码: 279-292
作者:  Wang, Jue;  Li, Xiang;  Hong, Tao;  Wang, Shouyang
收藏  |  浏览/下载：235/0  |  提交时间：2018/10/07
Crude oil price  Decomposition and reconstruction  Forecast combination  Model selection  
An improved SMO algorithm for financial credit risk assessment - Evidence from China's banking 期刊论文
NEUROCOMPUTING, 2018, 卷号: 272, 页码: 314-325
作者:  Zhang, Qi;  Wang, Jue;  Lu, Aiguo;  Wang, Shouyang;  Ma, Jian
收藏  |  浏览/下载：168/0  |  提交时间：2018/07/30
Credit risk assessment  SVM  Sequential minimal optimization (SMO)  Four-variable working set