A Model for Shovel Capital Cost Estimation, Using a Hybrid Model of Multivariate Regression and Neural Networks

A Model for Shovel Capital Cost Estimation, Using a Hybrid Model of Multivariate Regression and Neural Networks

Cost estimation is an essential issue in feasibility studies in civil engineering. Many different methods can be applied to modelling costs. These methods can be divided into several main groups: (1) artificial intelligence, (2) statistical methods, and (3) analytical methods. In this paper, the mul...

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Bibliographic Details
Main Authors: Abdolreza Yazdani-Chamzini, Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene, Romualdas Bausys
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Symmetry
Subjects:
cost estimation
shovel machine
neural network
multivariate regression
hybrid model
Online Access:https://www.mdpi.com/2073-8994/9/12/298

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