Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/4733
Title: A neural network approach for early cost estimation of structural systems of buildings
Authors: Günaydın, Hüsnü Murat
Doğan, Sevgi Zeynep
Keywords: Neural networks
Building design
Managing projects
Cost estimation
Concrete buildings
Issue Date: Oct-2004
Publisher: Elsevier Ltd.
Source: Günaydın, H. M., and Doğan, S. Z. (2004). A neural network approach for early cost estimation of structural systems of buildings. International Journal of Project Management, 22(7), 595-602. doi:10.1016/j.ijproman.2004.04.002
Abstract: The importance of decision making in cost estimation for building design processes points to a need for an estimation tool for both designers and project managers. This paper investigates the utility of neural network methodology to overcome cost estimation problems in early phases of building design processes. Cost and design data from thirty projects were used for training and testing our neural network methodology with eight design parameters utilized in estimating the square meter cost of reinforced concrete structural systems of 4-8 storey residential buildings in Turkey, an average cost estimation accuracy of 93% was achieved.
URI: http://doi.org/10.1016/j.ijproman.2004.04.002
http://hdl.handle.net/11147/4733
ISSN: 0263-7863
0263-7863
Appears in Collections:Architecture / Mimarlık
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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