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Study on Transmission Line Ice Accretion Mode Based on BP Neural Network

LUO Yi1,YAO Yi1,LI Ying1,WANG Kai1,QIU Ling2(1.School of Automation and Electronic Information,Sichuan University of Science & Engineering,Zigong 643000,China; 2.School of Computer Science,Sichuan University of Science & Engineering,Zigong 643000,China)  
After analyzing the deficiency of existing prediction accuracy of ice accretion on transmission lines and the superiority of neural network for nonlinear variable mapping,a new method based on BP neural network which taked the Levenberg-Marquardt learning algorithm was proposed.This new prediction model was practiced by the ice growth data of experiment.Using the convergent prediction model,a successful ice growth prediction experiment was set up.The simulation result shows that there are 7 groups of prediction error less than 1mm,which is much better than the 3 groups of Makkonoe model.The prediction simulation verified that this new prediction model is a effective model.This new model plays a significant role in the prediction and prevention research.
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