Prediction of compressive strength of BFRC using soft computing techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08331-5.pdf
Reference46 articles.
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2. Abu Arqub O, Singh J, Maayah B, & Alhodaly M (2021a) Reproducing kernel approach for numerical solutions of fuzzy fractional initial value problems under the Mittag–Leffler kernel differential operator. Mathemat Methods Appl Sci. https://doi.org/10.1002/mma.7305
3. Abu Arqub O, Singh J, & Alhodaly M (2021b) Adaptation of kernel functions‐based approach with Atangana–Baleanu–Caputo distributed order derivative for solutions of fuzzy fractional Volterra and Fredholm integrodifferential equations. Mathemat Method Appl Sci. https://doi.org/10.1002/mma.7228
4. Adesina A (2021) Performance of cementitious composites reinforced with chopped basalt fibres–an overview. Construct Build Mater 266:120970. https://doi.org/10.1016/j.conbuildmat.2020.120970
5. Alshammari M, Al-Smadi M, Arqub OA, Hashim I, Alias MA (2020) Residual series representation algorithm for solving fuzzy duffing oscillator equations. Symmetry 12(4):572
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Multi-output machine learning for predicting the mechanical properties of BFRC;Case Studies in Construction Materials;2024-07
2. Flexural and split tensile strength of concrete with basalt fiber: An experimental and computational analysis;Construction and Building Materials;2024-02
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