• DocumentCode
    3176568
  • Title

    An extension cluster model for the forecast on the volume of exhaust emissions

  • Author

    Wang, Min ; Yu, Yongquan ; Wang, Wenjuan

  • Author_Institution
    Fac. of Comput., Guangdong Univ. of Technol., Guangzhou, China
  • fYear
    2010
  • fDate
    29-30 Oct. 2010
  • Firstpage
    37
  • Lastpage
    40
  • Abstract
    On the basis of matter element model and correlation function in extension, this paper provided a method of the extension cluster modeling mechanism for the forecast on the volume of exhaust emissions. An interval forecast on the volume of exhaust emissions was made combining with Shanghai´s statistical data. The forecasting result shows that the method is more effective and high accuracy.
  • Keywords
    air pollution; forecasting theory; statistical analysis; Shanghai´s statistical data; correlation function; exhaust emissions; extension cluster model; interval forecast; matter element model; volume forecasting; Databases; Economic indicators; extension cluster forcast model; the volume of exhaust emissions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Education (ICAIE), 2010 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-6935-2
  • Type

    conf

  • DOI
    10.1109/ICAIE.2010.5641522
  • Filename
    5641522