Predictive analysis of recycled concrete properties at elevated temperatures using M5 pruned rule classifiers
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42107-023-00933-6.pdf
Reference41 articles.
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2. Ameri, F., et al. (2021). Physico-mechanical properties and micromorphology of AAS mortars containing copper slag as fine aggregate at elevated temperature. Journal of Building Engineering, 39(February), 102289. https://doi.org/10.1016/j.jobe.2021.102289
3. Ameri, F., de Brito, J., Madhkhan, M., & Taheri, R. A. (2020). Steel fibre-reinforced high-strength concrete incorporating copper slag: Mechanical, gamma-ray shielding, impact resistance, and microstructural characteristics. Journal of Building Engineering, 29, 101118. https://doi.org/10.1016/j.jobe.2019.101118
4. Atici, U. (2011). Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network. Expert Systems with Applications, 38(8), 9609–9618. https://doi.org/10.1016/j.eswa.2011.01.156
5. Ayaz, Y., Kocamaz, A. F., & Karakoç, M. B. (2015). Modeling of compressive strength and UPV of high-volume mineral-admixtured concrete using rule-based M5 rule and tree model M5P classifiers. Construction and Building Materials, 94(September), 235–240.
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