Lean Yu
Lean Yu
Academy of Mathematics and Systems Science, CAS; School of Economics and Management, BUCT
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Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm
L Yu, S Wang, KK Lai
Energy economics 30 (5), 2623-2635, 2008
Credit risk assessment with a multistage neural network ensemble learning approach
L Yu, S Wang, KK Lai
Expert systems with applications 34 (2), 1434-1444, 2008
A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates
L Yu, S Wang, KK Lai
Computers & Operations Research 32 (10), 2523-2541, 2005
A distance-based group decision-making methodology for multi-person multi-criteria emergency decision support
L Yu, KK Lai
Decision Support Systems 51 (2), 307-315, 2011
A new method for crude oil price forecasting based on support vector machines
W Xie, L Yu, S Xu, S Wang
International conference on computational science, 444-451, 2006
A deep learning ensemble approach for crude oil price forecasting
Y Zhao, J Li, L Yu
Energy Economics 66, 9-16, 2017
An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring
L Yu, S Wang, KK Lai
European journal of operational research 195 (3), 942-959, 2009
Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method
X Zhang, L Yu, S Wang, KK Lai
Energy Economics 31 (5), 768-778, 2009
Evolving least squares support vector machines for stock market trend mining
L Yu, H Chen, S Wang, KK Lai
IEEE Transactions on evolutionary computation 13 (1), 87-102, 2008
Crude oil price forecasting with TEI@ I methodology
W Shouyang, YU Lean, KK Lai
系统科学与复杂性 18 (2), 145, 2005
Least squares support vector machines ensemble models for credit scoring
L Zhou, KK Lai, L Yu
Expert systems with applications 37 (1), 127-133, 2010
Multistage RBF neural network ensemble learning for exchange rates forecasting
L Yu, KK Lai, S Wang
Neurocomputing 71 (16-18), 3295-3302, 2008
Support vector machine based multiagent ensemble learning for credit risk evaluation
L Yu, W Yue, S Wang, KK Lai
Expert Systems with Applications 37 (2), 1351-1360, 2010
An integrated data preparation scheme for neural network data analysis
L Yu, S Wang, KK Lai
IEEE Transactions on Knowledge and Data Engineering 18 (2), 217-230, 2005
Carbon emissions trading scheme exploration in China: A multi-agent-based model
L Tang, J Wu, L Yu, Q Bao
Energy Policy 81, 152-169, 2015
A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting
L Yu, W Dai, L Tang
Engineering Applications of Artificial Intelligence 47, 110-121, 2016
BioInspired Credit Risk Analysis
L Yu, S Wang, KK Lai, L Zhou
Springer, 2008
Neural networks in finance and economics forecasting
W Huang, KK Lai, Y Nakamori, S Wang, L Yu
International Journal of Information Technology & Decision Making 6 (01 …, 2007
A neural-network-based nonlinear metamodeling approach to financial time series forecasting
L Yu, S Wang, KK Lai
Applied Soft Computing 9 (2), 563-574, 2009
Neural network-based mean–variance–skewness model for portfolio selection
L Yu, S Wang, KK Lai
Computers & Operations Research 35 (1), 34-46, 2008
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