• DocumentCode
    506615
  • Title

    Application research on genetic programming in the prediction of mining subsidence

  • Author

    Xue-yang, Sun ; Yu-Cheng, Xia ; Hui-min, Qi ; Liang, Xiao

  • Author_Institution
    Sch. of Geol. & Environ., Xi´´an Univ. of Sci. & Technol., Xi´´an, China
  • Volume
    1
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    29
  • Lastpage
    32
  • Abstract
    Based on unique advantage of genetic programming on solving linear problems, it was introduced into mining subsidence. By using relevant data of mining subsidence and the method of genetic programming, the nonlinear relation between maximum amount of mining subsidence and its influencing factors was set up. Compared with practical data, the results showed that the prediction accuracy of mining subsidence was improve effectively by using the method than other prediction methods, and a new idea for prediction of mining subsidence was provided.
  • Keywords
    data mining; genetic algorithms; linear programming; data mining; genetic programming; linear problems; mining subsidence prediction; Decision support systems; Genetic programming; Zirconium; Genetic Algorithms; Genetic Programming; Mining Subsidence; predictions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5357941
  • Filename
    5357941