• DocumentCode
    3254792
  • Title

    Grey-exponential smoothing prediction model of mining safety based on forecasting validity

  • Author

    Ke, Lihua ; Ye, Yicheng ; Zhao, Wenwen ; Li, Yingying

  • Author_Institution
    Hubei Key Lab. for Efficient Utilization & Agglomeration of Metallurgic Miner. Resources, Wuhan Univ. of Sci. & Technol., Wuhan, China
  • Volume
    8
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    3780
  • Lastpage
    3783
  • Abstract
    The accuracy of prediction is the target of single prediction model in which the forecasting validity has rarely been discussed. In this paper, the authors have researched the grey-exponential smoothing prediction model and put forward weighted combination forecasting model based on the maximum average value of prediction accuracy in forecasting interval about single prediction. Moreover, the optimal calculation model of linear programme has been posed to determine weighting coefficients. The forecasting accuracy of mining safety prediction has been improved by using the model to study the rate of mortality in mining accidents in China. The model is intuitive, simple and has higher value of practical application.
  • Keywords
    forecasting theory; mining industry; occupational safety; China; forecasting validity; grey-exponential smoothing prediction model; mining accidents; mining safety prediction; weighted combination forecasting model; Accidents; Accuracy; Data models; Forecasting; Predictive models; Safety; Smoothing methods; combination prediction; forecasting validity; mining safety; the rate of mortality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5646685
  • Filename
    5646685