Open AccessShear Strength Prediction of FRP-reinforced Concrete Beams Using an Extreme Gradient Boosting Framework
Author(s) -
A. Kaveh,
Armin Dadras Eslamlou,
Roya Mahdipour Moghani
Publication year - 2021
Publication title -
periodica polytechnica. civil engineering/periodica polytechnica. civil engineering (online)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.406
H-Index - 19
eISSN - 1587-3773
pISSN - 0553-6626
DOI - 10.3311/ppci.18901
Subject(s) - overfitting , randomness , computer science , random forest , robustness (evolution) , boosting (machine learning) , decision tree , early stopping , machine learning , extreme learning machine , support vector machine , test data , gradient boosting , artificial intelligence , mathematics , statistics , programming language , biochemistry , chemistry , artificial neural network , gene