• DocumentCode
    2899352
  • Title

    The Application of Support Vector Machine on Rate of Nonlinear Direct Cost

  • Author

    Liu, Lixia

  • Author_Institution
    Dept. of Commun. Eng., Eng. Coll. of Armed Police Force, Xian, China
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    811
  • Lastpage
    814
  • Abstract
    Time-cost optimization problem is one of the most important aspects of construction project planning and control. And the relationship between direct cost and activity duration is the base of project planning and control. Nowadays, when construction planners made an optimization of time-cost, they assumed the rate of direct cost is linear in order to calculate it simply. But in fact the direct cost of the project in function is non-linear. In order to obtain the relationship between direct cost and activity duration, this paper developed a universal non-linear function of the direct cost based on support vector machine (SVM). We can get the non-linear function of the direct cost through determined the coefficients of the function with SVM. This non-linear function of direct cost can describe the relationship between direct cost and duration more precise. And it can help construction planners to control project cost. After simulation of project, the validity and practicality of the method have been verified.
  • Keywords
    construction industry; costing; optimisation; production planning; project management; support vector machines; activity duration; construction project control; construction project planning; nonlinear direct cost; nonlinear function; support vector machine; time-cost optimization problem; Communication system control; Control systems; Cost function; Educational institutions; Electronic mail; Force control; Information systems; Nonlinear control systems; Subcontracting; Support vector machines; direct cost; non-linear; support vector machine(SVM); time-cost optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Information Systems and Mining, 2009. WISM 2009. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3817-4
  • Type

    conf

  • DOI
    10.1109/WISM.2009.168
  • Filename
    5368409