A Study on Construction Project Cost Management Based on Neural Network

  • Jin-song Tong
  • Xing Bi
Conference paper


Project cost management is vital to the survival and development of construction enterprises. This paper reveals the risk factors of the project cost by discussing the impact of the uncertain behavior of proprietors, construction units, designers and supervisors on the project cost management from the perspective of project management. Then, this paper establishes a project cost risk analysis model, through the use of artificial neural network algorithm to find the sensitive factors that increase the total project cost risk, so as to provide reference for project managers to prevent risks.


Analysis Cost management Construction project Neural network 


  1. 1.
    T. Xu, Application of strategy-based target cost management method in international project contracting projects, Southwestern University of Finance and Economics, pp. 6–7 (2003)Google Scholar
  2. 2.
    T. Arditi, G. Akan, Cost overruns in public projects. Proj. Manag. 3(4), 218–224 (1985)Google Scholar
  3. 3.
    M.S. Flyvbjerg, H.S. Buhl, What causes cost overrun in transport infrastructure projects. Transp. Rev. 24(1), 3–18 (2004)CrossRefGoogle Scholar
  4. 4.
    J. Guo, Cost management of engineering project (China Electric Power Press, 2011)Google Scholar
  5. 5.
    L. Wang, Research on the cost control method of construction project, Shangdong University (2013)Google Scholar
  6. 6.
    Y. Deqin, An empirical study on human risk factors of engineering cost. Constr. Econ. 2, 45–48 (2006)Google Scholar
  7. 7.
    H. Mao, B. Zhu, T. Wang, The effect of organizational environment on engineering project cost management. Nankai Bus. Rev. (1), 102–112 (2012)CrossRefGoogle Scholar
  8. 8.
    X. Zheng, Study on cost control of construction projects. Res. Financ. Econ. Issues (11), 117–120 (2014)Google Scholar
  9. 9.
    Q. Wang, W. Xu, A survey of quality cost management in construction engineering in China. Ind. Eng. Manag. (1), 120–124 (2006)Google Scholar
  10. 10.
    B. Ou, Economic forecasting method based on back propagation neural network. J. Nanjing Inst. Technol. (2), 11–14 (2004)Google Scholar
  11. 11.
    Yu. Zhang Huanjie, H.X. Xiaozhong, Analysis on the tripartite game of owner and supervision cahoots program. Shanxi Archit. 3, 23–24 (2008)Google Scholar
  12. 12.
    W. Xuejun, W. Xuefen, On construction project management and cost control. Value Eng. 13, 63–65 (2014)Google Scholar
  13. 13.
    Z. Hongliang, Yu. Dong, Analysis of internal environment of construction enterprises. Constr. Econ. 11, 24–27 (1997)Google Scholar
  14. 14.
    Z. Hongmou, Six elements of material cost management for construction projects. Constr. Enterp. Manag. 11, 30–31 (2000)Google Scholar
  15. 15.
    T. Xuekui, Cost control at engineering design stage. Constr. Econ. 212, 45–46 (2000)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of ManagementTianjin UniversityTianjinChina

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