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Interval decomposition ensemble approach for crude oil price forecasting 期刊论文
ENERGY ECONOMICS, 2018, 卷号: 76, 页码: 274-287
作者:  Sun, Shaolong;  Sun, Yuying;  Wang, Shouyang;  Wei, Yunjie
收藏  |  浏览/下载：171/0  |  提交时间：2019/03/05
Bivariate empirical mode decomposition  Crude oil price forecasting  Interval-valued time series  Interval Holt's method  Interval neural networks  
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：232/0  |  提交时间：2018/10/07
Crude oil price  Decomposition and reconstruction  Forecast combination  Model selection  
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：185/0  |  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：97/0  |  提交时间：2018/07/30
Transportation disruptions  GM(1,1) model  Neural network  Prediction  
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：114/0  |  提交时间：2018/07/30
Conditional value-at-risk (CVaR)  kernel methods  novelty detection  robust programming  single-class support vector machine (SSVM)  
amultiscalemodelingapproachincorporatingarimaandannsforfinancialmarketvolatilityforecasting 期刊论文
journalofsystemsscienceandcomplexity, 2014, 卷号: 27, 期号: 1, 页码: 225
作者:  Xiao Yi;  Xiao Jin;  Liu John;  Wang Shouyang
收藏  |  浏览/下载：96/0  |  提交时间：2020/01/10
Neural network methods for forecasting turning points in economic time series: an asymmetric verification to business cycles 期刊论文
Frontiers of Computer Science in China, 2010, 卷号: 4, 期号: 2, 页码: 254
作者:  Zhang Dabin;  Yu Lean;  Wang Shouyang;  Xie Haibin
收藏  |  浏览/下载：105/0  |  提交时间：2018/07/30
A neural-network-based nonlinear metamodeling approach to financial time series forecasting 期刊论文
APPLIED SOFT COMPUTING, 2009, 卷号: 9, 期号: 2, 页码: 563-574
作者:  Yu, Lean;  Wang, Shouyang;  Lai, Kin Keung
收藏  |  浏览/下载：106/0  |  提交时间：2018/07/30
Artificial neural networks  Metamodeling  Data sampling  Meta-learning  PCA  Financial time series forecasting  
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：99/0  |  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  
Multistage RBF neural network ensemble learning for exchange rates forecasting 期刊论文
NEUROCOMPUTING, 2008, 卷号: 71, 期号: 16-18, 页码: 3295-3302
作者:  Yu, Lean;  Lai, Kin Keung;  Wang, Shouyang
收藏  |  浏览/下载：91/0  |  提交时间：2018/07/30
RBF neural networks  Ensemble learning  Conditional generalized variance  Exchange rates prediction