• DocumentCode
    536534
  • Title

    Study on the Application of Improved BP Neural Network in Forecasting the Types of Support of Development Roadways

  • Author

    Song WeiDong ; Wu Shan ; Du Jianhua

  • Author_Institution
    Sch. of Civil & Environ. Eng., Univ. of Sci. & Tech. of Beijing, Beijing, China
  • fYear
    2010
  • fDate
    7-9 Nov. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, based on investigating and analyzing on the affecting factors for support type of development roadways as well as the successful support cases in Chengchao Iron mine, the improved BP neural network is put forward to study on the support type of development roadways. It may be seen from the learning course of learning samples and the prediction results of support types that whether the astringency of learning samples or the prediction results of support types show the high quality and efficiency. It provides a new thought to study on support types of development roadways and has high popularization value. And the limitation and further research goal are also pointed out in this paper.
  • Keywords
    backpropagation; civil engineering computing; mining; neural nets; road building; BP neural network; Chengchao Iron mine; development roadways; learning course; learning samples; popularization value; prediction efficiency; prediction quality; Artificial neural networks; Convergence; Iron; Mathematical model; Stress; 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.2010.5660241
  • Filename
    5660241