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Metaheuristic Optimization of Random Forest for Predicting Punch Shear Strength of FRP-Reinforced Concrete Beams

Predicting the punching shear strength (PSS) of fiber-reinforced polymer reinforced concrete (FRP-RC) beams is a critical task in the design and assessment of reinforced concrete structures. This study utilized three meta-heuristic optimization algorithms, namely ant lion optimizer (ALO), moth flame...

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Detalles Bibliográficos
Autores principales:	Yang, Peixi, Li, Chuanqi, Qiu, Yingui, Huang, Shuai, Zhou, Jian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10254300/ https://www.ncbi.nlm.nih.gov/pubmed/37297168 http://dx.doi.org/10.3390/ma16114034

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