A Neural Network Model for Predicting Cost of Pre-Fabricated Housing (CROSBI ID 62144)
Prilog u knjizi | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Vukomanović, Mladen ; Kararić, Mirsad ; Radujković, Mladen
engleski
A Neural Network Model for Predicting Cost of Pre-Fabricated Housing
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.
neural network, cost, prefabricated, modular, building
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Podaci o prilogu
674-682.
objavljeno
10.4018/978-1-4666-9619-8.ch028
Podaci o knjizi
Civil and Environmental Engineering: Concepts, Methodologies, Tools, and Applications
Mehdi Khosrow-Pour
Hershey (PA): IGI Global
2016.
9781466696198