Autor:	Alsamia, Shaymaa, Koch, Edina
Předmět:	ARTIFICIAL neural networks RANDOM forest algorithms SUPPORT vector machines MACHINE learning
Zdroj:	Pollack Periodica; Dec2024, Vol. 19 Issue 3, p28-33, 6p
Abstrakt:	This research aims to study the pullout resistance of a helical pile using three methods of machine learning techniques, which are: random forest regression, support vector regression, and adaptive neuro-fuzzy inference system, based on experimental results of a helical pile. The performance of these three techniques has been d compared and the results show that random forest algorithm has best performance than neuro-fuzzy inference system and support vector technique. The results show that machine learning considered a good tool in terms of estimating the pullout resistance of helical piles in the soil. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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