Estimation of Construction Project Cost Based on GA-BPNN

Guangying Jin, Chunhui Yang

2022

Abstract

Elevated uncertainty over recent years with the unprecedented crisis of COVID - 19 have led to greater difficulties for construction enterprises to control project costs. Meanwhile, estimating the project cost is sophisticated, especially considering about actual situation of their project management team. Thus, it is a challenge for construction enterprises to implement advanced decision support tools to estimate their project cost in the construction process. This paper proposes a model to help construction enterprises to estimate project costs. The model was developed using an approach by incorporating analytic hierarchy process (AHP) and backward propagation neural network (BPNN) optimized by the genetic algorithm (GA). Thus, it can involve subjective influencing factors and objective influencing factors. Moreover, a case study was carried out on actual projects by different construction enterprises located in Shandong province. The result shows that the implementation of the model can help construction enterprises to estimate construction costs with an average error of less than 8%. Consequently, the model can help managers estimate project costs taking into account the impact of the project management team.

Paper Citation

in Harvard Style

Jin G. and Yang C. (2022). Estimation of Construction Project Cost Based on GA-BPNN. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 196-201. DOI: 10.5220/0011917600003612

in Bibtex Style

@conference{isaic22,
author={Guangying Jin and Chunhui Yang},
title={Estimation of Construction Project Cost Based on GA-BPNN},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={196-201},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011917600003612},
isbn={978-989-758-622-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC
TI - Estimation of Construction Project Cost Based on GA-BPNN
SN - 978-989-758-622-4
AU - Jin G.
AU - Yang C.
PY - 2022
SP - 196
EP - 201
DO - 10.5220/0011917600003612
PB - SciTePress