Sensitivity analysis and prediction of erodibility of treated unsaturated soil modified with nanostructured fines of quarry dust using novel artificial neural network
Crossref DOI link: https://doi.org/10.1007/s41204-021-00131-2
Published Online: 2021-07-07
Published Print: 2021-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Onyelowe, Kennedy C.
Gnananandarao, Tammineni
Nwa-David, Chidobere
Text and Data Mining valid from 2021-07-07
Version of Record valid from 2021-07-07
Article History
Received: 29 April 2021
Accepted: 28 June 2021
First Online: 7 July 2021
Declarations
:
: The authors have no conflicting interests to report in this work.