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pro vyhledávání: '"Muhammet Fethi Gullu"'
Autor:
Izzettin Alhalil, Muhammet Fethi Gullu
Publikováno v:
Buildings, Vol 14, Iss 9, p 2967 (2024)
This paper presents a comprehensive study of five machine learning (ML) algorithms for predicting key characteristics of Reinforced Concrete (RC) structural systems. A novel dataset, ModRes, consisting of 9723 examples derived from modal and response
Externí odkaz:
https://doaj.org/article/267c2809bfb04e8893398d9e28e3b1c2
