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A Neural Network Model for Predicting Cost of Pre-Fabricated Housing


Vukomanović, Mladen; Kararić, Mirsad; Radujković, Mladen
A Neural Network Model for Predicting Cost of Pre-Fabricated Housing // Civil and Environmental Engineering: Concepts, Methodologies, Tools, and Applications / Mehdi Khosrow-Pour (ur.).
Hershey, Pennsylvania: IGI Global, 2016. str. 674-682 doi:10.4018/978-1-4666-9619-8.ch028


Naslov
A Neural Network Model for Predicting Cost of Pre-Fabricated Housing

Autori
Vukomanović, Mladen ; Kararić, Mirsad ; Radujković, Mladen

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Civil and Environmental Engineering: Concepts, Methodologies, Tools, and Applications

Urednik/ci
Mehdi Khosrow-Pour

Izdavač
IGI Global

Grad
Hershey, Pennsylvania

Godina
2016

Raspon stranica
674-682

ISBN
9781466696198

Ključne riječi
Neural network, cost, prefabricated, modular, building

Sažetak
Low performance of the construction industry stresses the need for improving current practices - especially in regard to cost. In this study the authors have found a critical set of variables for predicting total cost of pre-fabricated housing. A neural network model was applied on more than 30 projects. The model relies on 17 critical cost prediction variables. Verification, on 28 buildings, showed that: 85.7% of predicted values had the deviation lower 5%, while 10.7% had the deviation lower than 10%, in relation to the actual cost. After validating the model on new data the performances were as follows: 83.8% of predicted values had the deviation lower 5%, while 12.9% had the deviation lower than 10%. Thus, using this model, construction companies can influence project performance during project early phases, and acquire more competitive position on the market.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo



POVEZANOST RADA


Ustanove
Građevinski fakultet, Zagreb

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