• DocumentCode
    2156954
  • Title

    Displacement forecast of rockstrata around deep roadway under dynamic pressure utilizing PSO-BP network

  • Author

    Shi, Yong-kui ; Shao, Jian-sheng

  • Author_Institution
    Resources and Environment Engineering Institute, Shandong University of Science and Technology, Qingdao, 266510, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    2025
  • Lastpage
    2029
  • Abstract
    Considering the main affect factors of displacement of rockstrata around deep roadway under dynamic pressure, using PSO-BP and BP network respectively to forecast the displacement of rockstrata around deep roadway under dynamic pressure. As a result, it comes to a conclusion that the convergence speed and the predicted accuracy of PSO-BP network are obviously better than that of BP network.
  • Keywords
    Algorithm design and analysis; Artificial neural networks; Convergence; Forecasting; Neurons; Prediction algorithms; Training; Back-propagation neural network; PSO-BP network; deep roadway under dynamic pressure; forecast of rockstrata;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5691601
  • Filename
    5691601
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2156954