Prediction of Rebound Amount in Dry Mix Shotcrete by a Fast Adaboosting Neural Network

Prediction of Rebound Amount in Dry Mix Shotcrete by a Fast Adaboosting Neural Network

In this study, a new machine learning approach has been proposed to predict the rebound causing loss of material in shotcrete using the ensemble learning method. In shotcrete application, the amount of rebound material was obtained for use in a dataset. In this study, the shotcrete mixes that contai...

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Bibliographic Details
Main Authors: Mert Alkan, Hüseyin Hakan Ince, Melda Alkan Çakiroğlu, Ahmet Ali Süzen*
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021-01-01
Series:Tehnički Vjesnik
Subjects:
adaboosting
dry-mix shotcrete
ensemble learning
neural network
rebound
Online Access:https://hrcak.srce.hr/file/371867

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