• DocumentCode
    3732057
  • Title

    Estimating System of Project Cost Based on Neural Network

  • Author

    Jianguo Wang

  • Author_Institution
    Xinjiang Corps Xingxin Polytech., Urumqi, China
  • fYear
    2015
  • Firstpage
    392
  • Lastpage
    395
  • Abstract
    Today, the subway has become an important means of transport. However, the huge construction project of subway has not yet formed a complete system in the budget. Taking Guangzhou Metro Line as an example, by BP neural network model, two evaluation model about station cost fees and range expenses were established. At the station costs, take the cost the station and extending into account. In the range of costs, take the range cost and the extending fees into account. In addition, the cost of subway basic data was normalized to the benefits of distributed data. The model will help to quickly conduct the subway cost budget evaluation.
  • Keywords
    "Transportation","Big data","Smart cities"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation, Big Data and Smart City (ICITBS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICITBS.2015.103
  • Filename
    7384049