• DocumentCode
    2975165
  • Title

    Applications of Genetic Neural Network to Deformation Prediction of Face Rockfill Dam

  • Author

    Yan, Qiao ; Wu, Chang-Bin ; Zhang, Yan ; Xu, Xiao Dong

  • Author_Institution
    Coll. of Hydraulic & Environ. Eng., China Three Gorges Univ., Yichang, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    5051
  • Lastpage
    5055
  • Abstract
    Genetic neural network can improve optimization ability of the neural network model and effectively overcome the slow learning speed of BP neural network, there are the inherent local minimum point defects, and previous studies show that the method can effectively improve the prediction accuracy and speed. In this paper, using better representation at home and abroad and more comprehensive information on the actual engineering data, to explore the application of Genetic Neural Network to Deformation Prediction of Face Rockfill Dam, and to provide reference for Deformation Prediction of Face Rockfill Dam.
  • Keywords
    backpropagation; dams; genetic algorithms; neural nets; BP neural network; deformation prediction; face Rockfill dam; genetic neural network; optimization; Control engineering; Decision support systems; Economic indicators; deformation prediction; face rockfill dam; genetic neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.1222
  • Filename
    5629625