• DocumentCode
    2341907
  • Title

    Study on the Model of Torpedo´s Best Service Year

  • Author

    Liang, Qingwei ; Zhao, Minquan ; Yang, Pu

  • Author_Institution
    Coll. of Marine, NWPU, Xi´´an, China
  • Volume
    2
  • fYear
    2010
  • fDate
    18-20 Dec. 2010
  • Firstpage
    557
  • Lastpage
    560
  • Abstract
    Determining of the torpedo´s service year reasonably, it is an effective way to reduce the military expenses expenditure, and forecast the torpedo economic life. We can forecast the data of exponential use maintenance cost by using the grey metabolism GM(1,1) model. In order to improve the prediction precision, the data was divided into several groups, and prediction residual was modified by using neural network. Finally it is verified that the method is reasonable by an example.
  • Keywords
    economic forecasting; grey systems; life cycle costing; military systems; neural nets; exponential use maintenance cost data; grey metabolism model; military expense expenditure; neural network; prediction precision; prediction residual; torpedo best service year; torpedo economic life forecasting; 1) model; BP neural network; forecasting; maintaining cost; metabolism GM(1; torpedo;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Manufacturing and Automation (ICDMA), 2010 International Conference on
  • Conference_Location
    ChangSha
  • Print_ISBN
    978-0-7695-4286-7
  • Type

    conf

  • DOI
    10.1109/ICDMA.2010.252
  • Filename
    5701468