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《Science & Technology Information》 2008-16
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When the load of the power system is predicted BP neural network application,Input space to be serious relevant and when network dimension relatively high,The prediction precision of the neural network will drop.To this question,This text proposes the new method of a improvement,Concrete to utilize main composition analytical method(PCA) to input space reconstruct originally,Come structure to confirm network according to all main contribution rate of composition,Thus solved the problem that the BP network predicts the precision drops effectively,Verified the validity of this method through the real example of charging finally.
【CateGory Index】: TP183;TM715
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Chinese Journal Full-text Database 4 Hits
1 YAO Li-xiao1,SONG Ling-fang1,LI Qing-yu2,WAN Shi-xin3 (1.Dept.of Electrical Engineering,Xi抋n University of Technology,Xi抋n 710048,China; 2.Xian Power Supply Bureau,Xi抋n 710032,China; 3.Beijing International System Control Company,Beijing 100101,China);POWER SYSTEM SHORT-TERM LOAD FORECASTING BASED ON FUZZY CLUSTERING ANALYSIS AND BP NEURAL NETWORK[J];Power System Technology;2005-01
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Chinese Journal Full-text Database 10 Hits
1 WU Xiao-juan,ZHU Xin-jian,CAO Guang-yi,TU Heng-yong (Department of Automation,Shanghai Jiaotong University,Xuhui District,Shanghai 200030,China);Modeling of Solid Oxide Fuel Cell Based on Mathematical Theory and Adaptive Neural Fuzzy Inference System Identification[J];Power System Technology;2008-01
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