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《Science & Technology Information》 2008-16
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基于主成分分析的BP神经网络在电力系统负荷预测中的应用

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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【Citations】
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【Co-citations】
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