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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：638/4  |  提交时间：2012/11/12
Adaptive Penalty  Support Vector Machine  Credit Risk Classification  Evolution Strategy  
Does generation form influence environmental efficiency performance? An analysis of China's power system 期刊论文
APPLIED ENERGY, 2012, 卷号: 96, 期号: 1, 页码: 11,261-271
作者:  Xie, BC;  Fan, Y;  Qu, QQ
Adobe PDF(334Kb)  |  收藏  |  浏览/下载：631/8  |  提交时间：2012/11/12
Network Dea  Power Systems  Environmental Performance  Generation Forms  
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：660/7  |  提交时间：2012/11/12
Nuclear Energy Consumption Forecasting  Hybrid Ensemble Learning Paradigm  Ensemble Empirical Mode Decomposition  
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：545/2  |  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：499/4  |  提交时间：2012/11/12
Risk Integration  Trustworthy Software  Process Risk Measurement  Risk Control Optimization  Bayesian Network Learning  
Exploring energy consumption and demand in China 期刊论文
ENERGY, 2012, 卷号: 40, 期号: 1, 页码: 8,23-30
作者:  Fan, Y;  Xia, Y
Adobe PDF(311Kb)  |  收藏  |  浏览/下载：616/2  |  提交时间：2012/11/12
Energy Intensity  Energy Demand  Hybrid Energy I-o Model  Modified Ras  
Forewarning of sustainable utilization of regional water resources: a model based on BP neural network and set pair analysis 期刊论文
NATURAL HAZARDS, 2012, 卷号: 62, 期号: 1, 页码: 13,115-127
作者:  Jin, JL;  Wei, YM;  Zou, LL;  Liu, L;  Zhang, WW;  Zhou, YL
Adobe PDF(310Kb)  |  收藏  |  浏览/下载：592/3  |  提交时间：2012/11/12
Water Security Management  Water Resources Sustainable Utilization  Forewarning Model  Fuzzy Analytic Hierarchy Process  Back-propagation Neural Network  Set Pair Analysis  Genetic Algorithm