Revolutionizing engineered cementitious composite materials (ECC): the impact of XGBoost-SHAP analysis on polyvinyl alcohol (PVA) based ECC predictions.

Autor:	Uddin, Md Nasir, Al-Amin, Hossain, Shameem
Předmět:	ARTIFICIAL neural networks CEMENT composites MACHINE learning SUPPORT vector machines RANDOM forest algorithms
Zdroj:	Low-Carbon Materials & Green Construction; 7/30/2024, Vol. 2 Issue 1, p1-23, 23p
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu Full text from SpringerLink