• DocumentCode
    2763184
  • Title

    Study on Engineering Project Management Based on Neural Network

  • Author

    Liu, Jinhu ; Xu, Jing ; Xu, Xu ; Cao, Yan

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Lanzhou Jiaotong Univ., Lanzhou, China
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    234
  • Lastpage
    237
  • Abstract
    In order to make the performance evaluation for engineering project management effectively, this article adopts BP network approach to copy with the problem. By analysis, we build a quantitative model of performance evaluation including of four main control indicators for engineering project management, and apply the model in a numerical example. From the results of example we can see the method is feasible and scientific, which will pave a new route to improve the level of engineering project management.
  • Keywords
    backpropagation; engineering computing; neural nets; project management; BP network; engineering project management; neural network; performance evaluation; Artificial neural networks; Biological neural networks; Biological system modeling; Economic indicators; Educational institutions; Electronic commerce; Neural networks; Neurons; Performance analysis; Project management; Artificial neural networks; BP network; Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Commerce and Business Intelligence, 2009. ECBI 2009. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3661-3
  • Type

    conf

  • DOI
    10.1109/ECBI.2009.125
  • Filename
    5190446