Construction cost estimation of reinforced and prestressed concrete bridges using machine learning

Seven state-of-the-art machine learning techniques for estimation of construction costs of reinforced-concrete and prestressed concrete bridges are investigated in this paper, including artificial neural networks (ANN) and ensembles of ANNs, regression tree ensembles (random forests, boosted and bag...

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Bibliographic Details
Main Authors: Miljan Kovačević, Nenad Ivanišević, Predrag Petronijević, Vladimir Despotović
Format: Article
Language:English
Published: Croatian Association of Civil Engineers 2021-02-01
Series:Građevinar
Subjects:
Online Access:https://doi.org/10.14256/JCE.2738.2019