Coupled extreme gradient boosting algorithm with artificial intelligence models for predicting compressive strength of fiber reinforced polymer- confined concrete

Accurately predicting and identifying appropriate parameters are necessary for producing a safe and reliable strength model of concrete elements confined with fiber-reinforced polymers (FRP). In this study, an extreme gradient boosting (XGBoost) algorithm was developed for the feature selection and...

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Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 134; p. 108674
Main Authors:	Tao, Hai, Ali, Zainab Hasan, Mukhtar, Faisal, Al Zand, Ahmed W., Marhoon, Haydar Abdulameer, Goliatt, Leonardo, Yaseen, Zaher Mundher
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.08.2024
Subjects:	Artificial intelligence Composite system Confined concrete Extreme gradient boosting Fiber reinforced polymer Composite system Extreme gradient boosting Fiber reinforced polymer Artificial intelligence Confined concrete
ISSN:	0952-1976, 1873-6769
Online Access:	Get full text
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