On Random Subspace Optimization-Based Hybrid Computing Models Predicting the California Bearing Ratio of Soils

The California Bearing Ratio (CBR) is an important index for evaluating the bearing capacity of pavement subgrade materials. In this research, random subspace optimization-based hybrid computing models were trained and developed for the prediction of the CBR of soil. Three models were developed, nam...

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Detalles Bibliográficos
Autores principales: Trong, Duong Kien, Pham, Binh Thai, Jalal, Fazal E., Iqbal, Mudassir, Roussis, Panayiotis C., Mamou, Anna, Ferentinou, Maria, Vu, Dung Quang, Duc Dam, Nguyen, Tran, Quoc Anh, Asteris, Panagiotis G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585299/
https://www.ncbi.nlm.nih.gov/pubmed/34772040
http://dx.doi.org/10.3390/ma14216516

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585299/
https://www.ncbi.nlm.nih.gov/pubmed/34772040
http://dx.doi.org/10.3390/ma14216516

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