Pregled bibliografske jedinice broj: 965624
A Neural Network Model for Predicting Cost of Pre-Fabricated Housing
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 (PA): IGI Global, 2016. str. 674-682 doi:10.4018/978-1-4666-9619-8.ch028
CROSBI ID: 965624 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
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 (PA)
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