Estimation of California bearing ratio for hill highways using advanced hybrid artificial neural network algorithms

California bearing ratio (CBR) is one of the important parameters that is used to express the strength of the pavement subgrade of railways, roadways, and airport runways. CBR is usually determined in the laboratory in soaked and unsoaked conditions, which is an exhaustive and time-consuming process...

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Vydané v:	Multiscale and Multidisciplinary Modeling, Experiments and Design Ročník 7; číslo 2; s. 1119 - 1144
Hlavní autori:	Thapa, Ishwor, Ghani, Sufyan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.06.2024
Predmet:	Characterization and Evaluation of Materials Engineering Mathematical Applications in the Physical Sciences Mechanical Engineering Numerical and Computational Physics Original Paper Simulation Solid Mechanics Statistical parameters California bearing ratio Order analysis Artificial intelligence Gradient-based optimizer
ISSN:	2520-8160, 2520-8179
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