Volume 5 Number 11 (Nov. 2010)
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JCP 2010 Vol.5(11): 1762-1766 ISSN: 1796-203X
doi: 10.4304/jcp.5.11.1762-1766

Application of Neural Network in the Cost Estimation of Highway Engineering

Xin-Zheng Wang1, Xiao-chen Duan2, and Jing-yan Liu2
1 School of Civil Engineering,Nanyang Normal University ,Nanyang city P.R.China, 473061
2 School of Economics and Management,Shijiazhuang Railway InstituteShijiazhuang city,P.R.China,050043


Abstract—Based on the BP neural network, this paper sets up the model of cost estimation of highway engineering. The BP neural network model is trained by a sample data obtained from some performed typical engineering to come true quick cost-estimating.It is sure that the method is practical and the estimating results are reliable according to lots of examples.It shows the promising perspective of BP Neural Network in cost estimate of construction engineering.

Index Terms—neural network, highway engineering, cost estimation

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Cite: Xin-Zheng Wang, Xiao-chen Duan, and Jing-yan Liu, " Application of Neural Network in the Cost Estimation of Highway Engineering," Journal of Computers vol. 5, no. 11, pp. 1762-1766, 2010.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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