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Application of machine learning to the identification of quick and highly sensitive clays from cone penetration tests

Published Online: 2020-06-16

Published Print: 2020-06

Authors

Godoy, Cristian https://orcid.org/0000-0001-8449-982X
Depina, Ivan

Thakur, Vikas
Funding

Funding for this research was provided by:

the CONICYT Programa Formacion de Capital Humano Avanzado/Master Becas Chile (2017-73180687)
License Information

Text and Data Mining valid from 2020-06-01

Version of Record valid from 2020-06-16
More Information

Article History

Received: 29 October 2019

Accepted: 26 April 2020

First Online: 16 June 2020

Document is current