DocumentCode :
536923
Title :
The Study on the Prediction Method of Ice Thickness of Transmission Line Based on the Combination of GA and BP Neural Network
Author :
Du, Xinhui ; Zheng, Zhenhua ; Tan, Shaoqiong ; Wang, Jian
Author_Institution :
Coll. of Electr. & Power Eng., Taiyuan Univ. of Technol., Taiyuan, China
fYear :
2010
fDate :
7-9 Nov. 2010
Firstpage :
1
Lastpage :
4
Abstract :
It is very important to forecast the ice thickness of Transmission Line for the safe operation of transmission network. The author had introduced artificial neural network(ANN) to the prediction of the ice thickness of transmission line, and proposed a predictive model based on GA and BP addresses on the defects of BP network includes slow convergence and easiness of running to local minimum, and finally proved that GA-BP model was more effective to predict the ice thickness of transmission line the BP model.
Keywords :
genetic algorithms; neural nets; power transmission lines; BP Neural Network; artificial neural network; genetic algorithm; ice thickness; predictive model; transmission line; transmission network; Artificial neural networks; Data models; Gallium; Ice thickness; Power transmission lines; Predictive models; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
Type :
conf
DOI :
10.1109/ICEEE.2010.5660763
Filename :
5660763
Link To Document :
بازگشت