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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  
Mapping the innovation production process from accumulative advantage to economic outcomes: A path modeling approach 期刊论文
TECHNOVATION, 2011, 卷号: 31, 期号: 7, 页码: 11,336-346
作者:  Chen, KH;  Guan, JC
Adobe PDF(415Kb)  |  收藏  |  浏览/下载：619/4  |  提交时间：2012/11/12
Innovation Production Process  Path Modeling Analysis  Matthew Effects  Path Dependence  China's High-tech Innovations  
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  
Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA 期刊论文
ENERGY POLICY, 2011, 卷号: 39, 期号: 5, 页码: 9,2352-2360
作者:  Guo, XD;  Zhu, L;  Fan, Y;  Xie, BC
Adobe PDF(1286Kb)  |  收藏  |  浏览/下载：822/3  |  提交时间：2012/11/12
Environmental Dea  Potential Carbon Emission Reduction  Energy Conservation Technology