Prediction of Undrained Shear Strength by the GMDH-Type Neural Network Using SPT-Value and Soil Physical Properties

This study presents a novel method for predicting the undrained shear strength (c(u)) using artificial intelligence technology. The c(u) value is critical in geotechnical applications and difficult to directly determine without laboratory tests. The group method of data handling (GMDH)-type neural n...

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Detalles Bibliográficos
Autores principales: Kim, Mintae, Okuyucu, Osman, Ordu, Ertuğrul, Ordu, Seyma, Arslan, Özkan, Ko, Junyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502201/
https://www.ncbi.nlm.nih.gov/pubmed/36143696
http://dx.doi.org/10.3390/ma15186385

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502201/
https://www.ncbi.nlm.nih.gov/pubmed/36143696
http://dx.doi.org/10.3390/ma15186385

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