Principal component analysis–artificial neural network-based model for predicting the static strength of seasonally frozen soils

Seasonally frozen soils are exposed to freeze‒thaw cycles every year, leading to mechanical property deterioration. To reasonably describe the deterioration of soil under different conditions, machine learning (ML) technology is used to establish a prediction model for soil static strength. Six key...

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Detalles Bibliográficos
Autores principales: Sun, Yiqiang, Zhou, Shijie, Meng, Shangjiu, Wang, Miao, Mu, Hailong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522631/
https://www.ncbi.nlm.nih.gov/pubmed/37752230
http://dx.doi.org/10.1038/s41598-023-43462-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522631/
https://www.ncbi.nlm.nih.gov/pubmed/37752230
http://dx.doi.org/10.1038/s41598-023-43462-7

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