Decision-Support System for Estimating Resource Consumption in Bridge Construction Based on Machine Learning

The paper presents and analyzes the state-of-the-art machine learning techniques that can be applied as a decision-support system in the estimation of resource consumption in the construction of reinforced concrete and prestressed concrete road bridges. The formed database on the consumption of conc...

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Bibliographic Details
Main Authors: Miljan Kovačević, Nenad Ivanišević, Dragan Stević, Ljiljana Milić Marković, Borko Bulajić, Ljubo Marković, Nikola Gvozdović
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Axioms
Subjects:
Online Access:https://www.mdpi.com/2075-1680/12/1/19