• DocumentCode
    1726362
  • Title

    Grey BP neural network-based operating and support cost forecast

  • Author

    Long guang zheng ; Shi Xiangfeng ; Ma Cenrui

  • Author_Institution
    Missile Inst., Air Force Eng. Univ., Xi´an, China
  • fYear
    2011
  • Firstpage
    732
  • Lastpage
    734
  • Abstract
    A grey BP Neural network model is proposed in this paper to forecast the support cost of some weapon equipment. Founding operating, support cost models and determination methods for support cost of parameter´s variation are discussed in details. Then the grey artificial neural-based hybrid model is designed to identify the factors that affect the operating and support cost of the three key indicators index for the assessment of parameters including ground to some equipment to achieve operating, support cost for the use of scientific control and prediction. Hence, this method can provide a certain reference value to assist the research and development of weapons systems.
  • Keywords
    backpropagation; costing; forecasting theory; grey systems; neural nets; weapons; grey BP neural network; grey artificial neural-based hybrid model; support cost forecast; support cost model; weapon equipment; weapons systems; Weapons; BP artificial neural network; equipment; grey BP model; operating and support cost;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-61284-490-9
  • Type

    conf

  • DOI
    10.1109/GSIS.2011.6044055
  • Filename
    6044055