Crossmark

Prediction of the critical temperature of a superconductor by using the WOA/MARS, Ridge, Lasso and Elastic-net machine learning techniques

Published Online: 2021-07-20

Published Print: 2021-12

Authors

García-Nieto, Paulino José http://orcid.org/0000-0001-8880-6348
García-Gonzalo, Esperanza

Paredes-Sánchez, José Pablo
Funding

Funding for this research was provided by:

Fundación para el Fomento en Asturias de la Investigación Científica Aplicada y la Tecnología (FC-GRUPIN-IDI/2018/000221)

Ministerio de Ciencia, Innovación y Universidades (PGC2018-098459-B-I00)

Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.
License Information

Text and Data Mining valid from 2021-07-20

Version of Record valid from 2021-07-20
More Information

Article History

Received: 31 December 2020

Accepted: 1 July 2021

First Online: 20 July 2021

Change Date: 23 October 2021

Change Type: Update

Change Details: To add the OA funding note to the articles.

Declarations

:

: The authors declare no conflict of interest.

Document is current