Hyperparameters’ role in machine learning algorithm for modeling of compressive strength of recycled aggregate concrete
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41062-024-01471-z.pdf
Reference64 articles.
1. Adessina A, Fraj AB, Barthélémy J-F (2023) Improvement of the compressive strength of recycled aggregate concretes and relative effects on durability properties. Constr Build Mater 384:131447. https://doi.org/10.1016/j.conbuildmat.2023.131447
2. Alpaydin E (2010) Introduction to Machine Learning. The MIT Press
3. Bai G, Zhu C, Liu C, Liu B (2020) An evaluation of the recycled aggregate characteristics and the recycled aggregate concrete mechanical properties. Constr Build Mater 240:117978. https://doi.org/10.1016/j.conbuildmat.2019.117978
4. Behera M, Bhattacharyya SK, Minocha AK, Deoliya R, Maiti S (2014) Recycled aggregate from C&D waste & its use in concrete – A breakthrough towards sustainability in construction sector: A review. Constr Build Mater 68:501–516. https://doi.org/10.1016/j.conbuildmat.2014.07.003
5. Bergstra J, Bengio Y (2012) Random search for hyper-parameter optimization. J Mach Learn Res 13(2):281–305
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