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Evolution strategy based adaptive L-q penalty support vector machines with Gauss kernel for credit risk analysis 期刊论文
APPLIED SOFT COMPUTING, 2012, 卷号: 12, 期号: 8, 页码: 8,2675-2682
作者:  Li, JP;  Li, G;  Sun, DX;  Lee, CF
Adobe PDF(505Kb)  |  收藏  |  浏览/下载：644/4  |  提交时间：2012/11/12
Adaptive Penalty  Support Vector Machine  Credit Risk Classification  Evolution Strategy  
A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting 期刊论文
APPLIED ENERGY, 2012, 卷号: 93, 期号: 1, 页码: 12,432-443
作者:  Tang, L;  Yu, LA;  Wang, S;  Li, JP;  Wang, SY
Adobe PDF(913Kb)  |  收藏  |  浏览/下载：668/7  |  提交时间：2012/11/12
Nuclear Energy Consumption Forecasting  Hybrid Ensemble Learning Paradigm  Ensemble Empirical Mode Decomposition  
During-incident process assessment in emergency management: Concept and strategy 期刊论文
SAFETY SCIENCE, 2012, 卷号: 50, 期号: 1, 页码: 13,90-102
作者:  Chen, A;  Chen, N;  Li, JM
Adobe PDF(581Kb)  |  收藏  |  浏览/下载：629/3  |  提交时间：2012/11/12
Emergency Management  During-incident Process Assessment  Mitigability  Rescuability  Recoverability  
The low carbon development (LCD) levels' evaluation of the world's 47 countries (areas) by combining the FAHP with the TOPSIS method 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 卷号: 39, 期号: 7, 页码: 13,6628-6640
作者:  Jia, JS;  Fan, Y;  Guo, XD
Adobe PDF(712Kb)  |  收藏  |  浏览/下载：553/2  |  提交时间：2012/11/12
Low Carbon Development Level  Fahp  Topsis  
An integrated risk measurement and optimization model for trustworthy software process management 期刊论文
INFORMATION SCIENCES, 2012, 卷号: 191, 页码: 14,47-60
作者:  Li, JP;  Li, ML;  Wu, DS;  Song, H
Adobe PDF(1084Kb)  |  收藏  |  浏览/下载：507/4  |  提交时间：2012/11/12
Risk Integration  Trustworthy Software  Process Risk Measurement  Risk Control Optimization  Bayesian Network Learning  
A real options-based CCS investment evaluation model: Case study of China's power generation sector 期刊论文
APPLIED ENERGY, 2011, 卷号: 88, 期号: 12, 页码: 14,4320-4333
作者:  Zhu, L;  Fan, Y
Adobe PDF(1012Kb)  |  收藏  |  浏览/下载：732/6  |  提交时间：2012/11/12
Ccs Technology  Carbon Price  Cost Saving  Real Options  Lsm  
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: 13,6542-6554
作者:  Wang, S;  Yu, L;  Tang, L;  Wang, SY
Adobe PDF(913Kb)  |  收藏  |  浏览/下载：482/3  |  提交时间：2012/11/12
Hydropower Consumption Forecasting  Lssvr Ensemble Learning  Seasonal Decomposition  
Multiple-kernel SVM based multiple-task oriented data mining system for gene expression data analysis 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 卷号: 38, 期号: 10, 页码: 9,12151-12159
作者:  Chen, ZY;  Li, JP;  Wei, LW;  Xu, WX;  Shi, Y
Adobe PDF(352Kb)  |  收藏  |  浏览/下载：573/3  |  提交时间：2012/11/12
Support Vector Machine  Multiple-kernel Learning  Feature Selection  Data Fusion  Decision Rule  Associated Rule  Subclass Discovery  Gene Expression  
Evolution strategies based adaptive L-p LS-SVM 期刊论文
INFORMATION SCIENCES, 2011, 卷号: 181, 期号: 14, 页码: 17,3000-3016
作者:  Wei, LW;  Chen, ZY;  Li, JP
Adobe PDF(505Kb)  |  收藏  |  浏览/下载：541/4  |  提交时间：2012/11/12
Adaptive Penalty  Least Squares Support Vector Machine  Classification  Evolution Strategies  
A weighted L-q adaptive least squares support vector machine classifiers - Robust and sparse approximation 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 卷号: 38, 期号: 3, 页码: 7,2253-2259
作者:  Liu, JL;  Li, JP;  Xu, WX;  Shi, Y
Adobe PDF(429Kb)  |  收藏  |  浏览/下载：758/8  |  提交时间：2012/11/12
Least Squares Support Vector Machine  Weight  Adaptive Penalty  Classification  Robust  Sparse