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Prediction of Rebound Amount in Dry Mix Shotcrete by a Fast Adaboosting Neural Network
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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
Authors:
MA
Mert Alkan
Mert Alkan
HI
Hüseyin Hakan Ince
Hüseyin Hakan Ince
MÇ
Melda Alkan Çakiroğlu
Melda Alkan Çakiroğlu
Ahmet Ali Süzen
Ahmet Ali Süzen
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17 April 2021
journal article
research article
Published by
University of Slavonski Brod
in
Tehnicki vjesnik - Technical Gazette
Vol. 28
(2)
,
426-432
DOI:
10.17559/tv-20200422014902
Abstract
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...
Keywords
ADABOOSTING
DRY-MIX SHOTCRETE
ENSEMBLE LEARNING
NEURAL NETWORK
REBOUND
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