• DocumentCode
    2096397
  • Title

    Forecasting Model Based on Gray-Exponentially Smoothing and Applicated in Prediction of Safety Accidents

  • Author

    Li Ying-ying ; Ye Yi-cheng ; Huang Jun ; Lv Lei

  • Author_Institution
    Coll. of Resources & Environ. Eng., Wuhan Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2010
  • fDate
    28-31 March 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The analysis and forecasting of safety accident was important in the field of system security research. According to exponentially smoothing forecasting theory, the grey-exponentially smoothing forecasting model is built based on the grey forecasting of death rate (persons/10000) in safety accidents. This grey-exponentially smoothing forecasting model was applied on death rate (persons/10000) in safety accidents from 2006 to 2007. Through forecasting and analysis, the gray-exponentially smoothing model is proved to have a higher accuracy rate than GM(1,1) forecasting model.
  • Keywords
    accidents; forecasting theory; grey systems; safety; exponentially smoothing forecasting theory; forecasting model; grey exponentially smoothing; grey forecasting; safety accident prediction; system security research; Accidents; Data security; Educational institutions; Fluctuations; Information security; Mineral resources; Predictive models; Safety; Smoothing methods; Technology forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4812-8
  • Electronic_ISBN
    978-1-4244-4813-5
  • Type

    conf

  • DOI
    10.1109/APPEEC.2010.5448543
  • Filename
    5448543