• DocumentCode
    2374949
  • Title

    Prediction of Mine Water Inflow Based on Support Vector Machine

  • Author

    Wei, Wenxue ; Shi, Longqing ; Lu, Xinming ; Zhang, Feng

  • Author_Institution
    Shandong Univ. of Sci. & Technol., Qingdao, China
  • fYear
    2011
  • fDate
    15-16 May 2011
  • Firstpage
    326
  • Lastpage
    329
  • Abstract
    The prediction of water inflow is significant to the preventing and controlling water of mine pit. In this paper SVM is applied to the prediction of water inflow, and the workflow and prediction model is given. Combing with the practical demands, a prediction was made about water inflow of a new working face. The result shows that the maximum value of water inflow of the new mining face is higher than that of a mining face already mined, and the prediction result has been verified in the mining process of the new working face.
  • Keywords
    flow control; mining; support vector machines; SVM; mine pit; mine water inflow control; mining process; prediction model; support vector machine; workflow model; Coal; Data models; Face; Geology; Mathematical model; Predictive models; Support vector machines; SVM; prediction of water inflow; water inflow of mine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Media and Digital Content Management (DMDCM), 2011 Workshop on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4577-0271-6
  • Electronic_ISBN
    978-0-7695-4413-7
  • Type

    conf

  • DOI
    10.1109/DMDCM.2011.17
  • Filename
    5959745