Developing Hybrid Machine Learning Models to Determine the Dynamic Modulus (E*) of Asphalt Mixtures Using Parameters in Witczak 1-40D Model: A Comparative Study

To characterize the dynamic modulus (E*) of the asphalt mixtures more accurately, a comparative study was shown in this paper, combining six ML models (BP, SVM, DT, RF, KNN, and LR) with the novelly developed MBAS (modified BAS, beetle antennae search) algorithm to check the potential to replace the...

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Detalles Bibliográficos
Autores principales: Xu, Wenjuan, Huang, Xin, Yang, Zhengjun, Zhou, Mengmeng, Huang, Jiandong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8912106/
https://www.ncbi.nlm.nih.gov/pubmed/35269021
http://dx.doi.org/10.3390/ma15051791

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8912106/
https://www.ncbi.nlm.nih.gov/pubmed/35269021
http://dx.doi.org/10.3390/ma15051791

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