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Forecasting crude oil price with multilingual search engine data 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 卷号: 551, 页码: 14
作者:  Li, Jingjing;  Tang, Ling;  Wang, Shouyang
收藏  |  浏览/下载：169/0  |  提交时间：2020/06/30
Big data  Multilingual search engine index  Crude oil price forecasting  Google Trends  Artificial intelligence  
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
作者:  Gan, Kai;  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie
收藏  |  浏览/下载：252/0  |  提交时间：2018/11/16
Secondary-decomposition-ensemble learning paradigm  Complementary ensemble empirical mode decomposition  Phase space reconstruction  Least square support vector regression  Hybrid intelligent algorithm  
The future natural gas consumption in China: Based on the LMDI-STIRPAT-PLSR framework and scenario analysis 期刊论文
ENERGY POLICY, 2018, 卷号: 119, 页码: 215-225
作者:  Chai, Jian;  Liang, Ting;  Lai, Kin Keung;  Zhang, Zhe George;  Wang, Shouyang
收藏  |  浏览/下载：178/0  |  提交时间：2018/09/08
Natural gas consumption  LMDI decomposition  STIRPAT model  PLS regression  Scenario analysis  
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  
Assessing Potentiality of Support Vector Machine Method in Crude Oil Price Forecasting 期刊论文
EURASIA JOURNAL OF MATHEMATICS SCIENCE AND TECHNOLOGY EDUCATION, 2017, 卷号: 13, 期号: 12, 页码: 7893-7904
作者:  Yu, Lean;  Zhang, Xun;  Wang, Shouyang
收藏  |  浏览/下载：187/0  |  提交时间：2018/07/30
support vector machines  artificial neural networks  ARIMA model  ARFIMA model  Markov-switching ARFIMA model  
An improved grey neural network model for predicting transportation disruptions 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2016, 卷号: 45, 页码: 331-340
作者:  Liu, Chunxia;  Shu, Tong;  Chen, Shou;  Wang, Shouyang;  Lai, Kin Keung;  Gan, Lu
收藏  |  浏览/下载：99/0  |  提交时间：2018/07/30
Transportation disruptions  GM(1,1) model  Neural network  Prediction  
How does Google search affect trader positions and crude oil prices? 期刊论文
ECONOMIC MODELLING, 2015, 卷号: 49, 页码: 162-171
作者:  Li, Xin;  Ma, Jian;  Wang, Shouyang;  Zhang, Xun
收藏  |  浏览/下载：97/0  |  提交时间：2018/07/30
Internet-based data  Google search volume index  Crude oil price  Granger causality  Trader positions  
testinglinearandnonlineargrangercausalityincsi300futuresandspotmarketsbasedonnewconceptsofnonlinearpositivenegativespillover 期刊论文
journalofsystemsscienceandcomplexity, 2014, 卷号: 27, 期号: 4, 页码: 729
作者:  Zhou Pu;  Lu Fengbin;  Wang Shouyang
收藏  |  浏览/下载：105/0  |  提交时间：2020/01/10
Measuring financial risk with generalized asymmetric least squares regression 期刊论文
APPLIED SOFT COMPUTING, 2011, 卷号: 11, 期号: 8, 页码: 5793-5800
作者:  Wang, Yongqiao;  Wang, Shouyang;  Lai, K. K.
收藏  |  浏览/下载：104/0  |  提交时间：2018/07/30
Risk measurement  Value-at-risk  Expected shortfall  Kernel trick  Asymmetric least squares regression  
A novel seasonal decomposition based least squares support vector regression ensemble learning approach for hydropower consumption forecasting in China 期刊论文
ENERGY, 2011, 卷号: 36, 期号: 11, 页码: 6542-6554
作者:  Wang, Shuai;  Yu, Lean;  Tang, Ling;  Wang, Shouyang
收藏  |  浏览/下载：100/0  |  提交时间：2018/07/30
Hydropower consumption forecasting  LSSVR ensemble Learning  Seasonal decomposition