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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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Issue: Vol 10 No 11 (2007)
Page No.: 85-93
Published: Nov 30, 2007
Section: Article
DOI: https://doi.org/10.32508/stdj.v10i11.2847

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Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Khoa, P., Van, L., & Long, L. (2007). APARTMENT BUILDING COST ESTIMATING USING ARTIFICIAL NEURON NETWORK. Science and Technology Development Journal, 10(11), 85-93. https://doi.org/https://doi.org/10.32508/stdj.v10i11.2847


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