Predicting Marshall parameters of flexible pavement using support vector machine and genetic programming

[Display omitted] •Developed SVM models to predict the Marshall parameters of base and wearing course.•Simplified expressions were derived to predict the Marshall parameters based on GP.•Parametric analysis was conducted for validation of GP-based models.•Compared the performance of proposed models...

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Vydané v:	Construction & building materials Ročník 306; s. 124924
Hlavní autori:	Zhang, Weiguang, Khan, Adnan, Huyan, Ju, Zhong, Jingtao, Peng, Tianyi, Cheng, Hanglin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.11.2021
Predmet:	Coarse aggregate to filler percentages ratio Genetic programming and SVM method Marshall parameters prediction Genetic programming and SVM method Coarse aggregate to filler percentages ratio Marshall parameters prediction
ISSN:	0950-0618, 1879-0526
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