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

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1433-3058

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Prediction of the critical temperature of a superconductor by using the WOA/MARS, Ridge, Lasso and Elastic-net machine learning techniques ; volume:33 ; number:24 ; day:20 ; month:7 ; year:2021 ; pages:17131-17145 ; date:12.2021
Neural computing & applications ; 33, Heft 24 (20.7.2021), 17131-17145, 12.2021

Creator: García-Nieto, Paulino José
García-Gonzalo, Esperanza
Paredes-Sánchez, José Pablo

Contributor: SpringerLink (Online service)

DOI: 10.1007/s00521-021-06304-z

URN: urn:nbn:de:101:1-2022011920505493438798

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:29 AM CEST

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García-Nieto, Paulino José
García-Gonzalo, Esperanza
Paredes-Sánchez, José Pablo
SpringerLink (Online service)

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

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