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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
作者:  Zhao, Erlong;  Du, Pei;  Azaglo, Ernest Young;  Wang, Shouyang;  Sun, Shaolong
收藏  |  浏览/下载：169/0  |  提交时间：2022/04/29
Daily tourism volume forecasting  decomposition ensemble approach  sample entropy  kernel extreme learning machine  multi-kernel adaptive strategy  
A new dynamic integrated approach for wind speed forecasting 期刊论文
APPLIED ENERGY, 2017, 卷号: 197, 页码: 151-162
作者:  Sun, Shaolong;  Qiao, Han;  Wei, Yunjie;  Wang, Shouyang
收藏  |  浏览/下载：131/0  |  提交时间：2018/07/30
Wind speed forecasting  Core vector machine  Phase space reconstruction  Kernel principal component analysis  Competition over resource algorithm  
An efficient integrated nonparametric entropy estimator of serial dependence 期刊论文
ECONOMETRIC REVIEWS, 2017, 卷号: 36, 期号: 6-9, 页码: 728-780
作者:  Hong, Yongmiao;  Wang, Xia;  Zhang, Wenjie;  Wang, Shouyang
收藏  |  浏览/下载：109/0  |  提交时间：2018/07/30
Entropy  naive bootstrap  nonlinear time series  numerical Integration  sample averaging  serial dependence  smoothed bootstrap  
Robust Novelty Detection via Worst Case CVaR Minimization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 9, 页码: 2098-2110
作者:  Wang, Yongqiao;  Dang, Chuangyin;  Wang, Shouyang
收藏  |  浏览/下载：117/0  |  提交时间：2018/07/30
Conditional value-at-risk (CVaR)  kernel methods  novelty detection  robust programming  single-class support vector machine (SSVM)  
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：99/0  |  提交时间：2018/07/30
Hydropower consumption forecasting  LSSVR ensemble Learning  Seasonal decomposition  
Granger causality in risk and detection of extreme risk spillover between financial markets 期刊论文
JOURNAL OF ECONOMETRICS, 2009, 卷号: 150, 期号: 2, 页码: 271-287
作者:  Hong, Yongmiao;  Liu, Yanhui;  Wang, Shouyang
收藏  |  浏览/下载：126/0  |  提交时间：2018/07/30
Cross-spectrum  Extreme downside risk  Financial contagion  Granger causality in risk  Nonlinear time series  Risk management  Value at Risk  
Evolving Least Squares Support Vector Machines for Stock Market Trend Mining 期刊论文
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2009, 卷号: 13, 期号: 1, 页码: 87-102
作者:  Yu, Lean;  Chen, Huanhuan;  Wang, Shouyang;  Lai, Kin Keung
收藏  |  浏览/下载：102/0  |  提交时间：2018/07/30
Artificial neural networks (ANNs)  evolutionary algorithms (EAs)  feature selection  genetic algorithm (GA)  least squares support vector machine (LSSVM)  mixed kernel  parameter optimization  statistical models  stock market trend mining  
Forecasting China's foreign trade volume with a kernel-based hybrid econometric-AI ensemble learning approach 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2008, 卷号: 21, 期号: 1, 页码: 1-19
作者:  Yu, Lean;  Wang, Shouyang;  Lai, Kin Keung
收藏  |  浏览/下载：123/0  |  提交时间：2018/07/30
artificial neural networks  error-correction vector auto-regression  foreign trade prediction  hybrid ensemble learning  kernel-based method  support vector regression  
Nonlinear clustering-based support vector machine for large data sets 期刊论文
OPTIMIZATION METHODS & SOFTWARE, 2008, 卷号: 23, 期号: 4, 页码: 533-549
作者:  Wang, Yongqiao;  Zhang, Xun;  Wang, Souyang;  Lai, K. K.
收藏  |  浏览/下载：111/0  |  提交时间：2018/07/30
classification  kernel clustering  support vector machine  active learning