A novel ant colony-optimized extreme gradient boosting machine for estimating compressive strength of recycled aggregate concrete
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Mechanics of Materials,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s41939-023-00220-6.pdf
Reference105 articles.
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2. Aggarwal CC (2018) Neural networks and deep learning. Springer, New York
3. Andreu G, Miren E (2014) Experimental analysis of properties of high performance recycled aggregate concrete. Constr Build Mater 52:227–235. https://doi.org/10.1016/j.conbuildmat.2013.11.054
4. Beltrán MG, Barbudo A, Agrela F, Galvín AP, Jiménez JR (2014) Effect of cement addition on the properties of recycled concretes to reach control concretes strengths. J Clean Prod 79:124–133. https://doi.org/10.1016/j.jclepro.2014.05.053
5. Bentéjac C, Csörgő A, Martínez-Muñoz G (2019) A comparative analysis of XGBoost. arXiv:191101914 [csLG]
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