• 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