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APARTMENT BUILDING COST ESTIMATING USING ARTIFICIAL NEURON NETWORK

Phan Van Khoa 1
Luu Truong Van 1
Le Hoai Long 1
Volume & Issue: Vol. 10 No. 11 (2007) | Page No.: 85-93 | DOI: 10.32508/stdj.v10i11.2847
Published: 2007-11-30

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Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

Estimating cost of a construction project is an important task in the management of construction. Following the urbanization and the population growth, apartment building projects rise increasingly in quantity. Correct cost estimation is a vital problem of the owners. This paper presents the application of artificial neuron network (ANN) in apartment building cost estimate. Moreover, a software, programmed with Visual C++, was constructed and presented to predict apartment building cost.

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