Predicting The California Bearing Ratio Applying The Automated Framework Of Regression Model

The construction of flexible pavement on expansive soil subgrade necessitates the precise determination of the California Bearing Ratio (CBR) value, a crucial aspect of flexible pavement design. However, the conventional laboratory determination of CBR often demands considerable human resources and...

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Veröffentlicht in:	Journal of Applied Science and Engineering Jg. 28; H. 7; S. 1435 - 1447
Hauptverfasser:	Pan Hu, Jing Jin, Yu Yun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	淡江大學 01.07.2025 Tamkang University Press
Schlagworte:	aquila optimizer california bearing ratio dynamic arithmetic optimization algorithm random forest slime mould algorithm Dynamic Arithmetic Optimization Algorithm Slime Mould Algorithm California bearing ratio Aquila Optimizer Random Forest
ISSN:	2708-9967, 2708-9975
Online-Zugang:	Volltext
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