Machine learning regression approaches for predicting the ultimate buckling load of variable-stiffness composite cylinders
Crossref DOI link: https://doi.org/10.1007/s00707-020-02878-2
Published Online: 2021-01-03
Published Print: 2021-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kaveh, A. https://orcid.org/0000-0002-5428-4788
Dadras Eslamlou, A.
Javadi, S. M.
Geran Malek, N.
Text and Data Mining valid from 2021-01-03
Version of Record valid from 2021-01-03
Article History
Received: 9 October 2020
Accepted: 30 October 2020
First Online: 3 January 2021
Compliance with ethical standards
:
: The authors have no conflict of interest.