Employing multi-layer perceptron model via meta-heuristic algorithms for predicting California bearing capacity of stabilized soil

The California bearing ratio (CBR) value is a pivotal soil characteristic for designing flexible pavements and airport runways. Additionally, it can be harnessed to ascertain the subgrade's soil reaction through correlation. This parameter is paramount in soil engineering, particularly in formu...

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Veröffentlicht in:	Multiscale and Multidisciplinary Modeling, Experiments and Design Jg. 7; H. 2; S. 1375 - 1391
1. Verfasser:	Zhang, Lulu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.06.2024
Schlagworte:	Characterization and Evaluation of Materials Engineering Mathematical Applications in the Physical Sciences Mechanical Engineering Numerical and Computational Physics Original Paper Simulation Solid Mechanics California bearing ratio Bonobo optimizer Dynamic control cuckoo search Smell agent optimization Multi-layer perceptron
ISSN:	2520-8160, 2520-8179
Online-Zugang:	Volltext
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