Research on Cost Estimation of Highway Project Based on the GA-BP Algorithm

Yilong Zhang (), Yajun Cai and Huanhuan Wu
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Yilong Zhang: Chongqing Jiaotong University
Yajun Cai: Chongqing Jiaotong University
Huanhuan Wu: Chongqing Jiaotong University

Chapter Chapter 37 in Proceedings of the 19th International Symposium on Advancement of Construction Management and Real Estate, 2015, pp 451-462 from Springer

Abstract: Abstract In order to make up the inadequacy of cost estimation of traditional highway project, this paper combines BP artificial neural network with genetic algorithm to set up the model GA-BP algorithm, and the artificial intelligence algorithm is led to the cost estimation of highway project. Based on the cost information of existing highway project, the eigenvalues and membership grade are found out. Then, based on the MATLAB platform, through the experimental simulation to compare the results of GA-BP algorithm with BP algorithm. Research finding shows the optimized GA-BP algorithm has calculation simple, fast and high calculation precision. Thus it is concluded that the feasibility and effectiveness of the algorithm.

Keywords: Artificial neural network; Genetic algorithm; GA-BP algorithm; Cost estimation (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-46994-1_37

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DOI: 10.1007/978-3-662-46994-1_37

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