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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

Author:
García Nieto, Paulino JoséUniovi authority; García Gonzalo, María EsperanzaUniovi authority; Paredes Sánchez, José PabloUniovi authority
Publication date:
2021
Publisher version:
http://dx.doi.org/10.1007/s00521-021-06304-z
Citación:
Neural Computing and Applications, 33, p. 17131-17145 (2021); doi:10.1007/s00521-021-06304-z
Descripción física:
p. 17131-17145
URI:
http://hdl.handle.net/10651/61719
ISSN:
0941-0643
DOI:
10.1007/s00521-021-06304-z
Local Notes:

OA ATUO21

Patrocinado por:

Spanish Research Projects PGC2018-098459-B-I00 and FC-GRUPIN-IDI/2018/000221, both of which are partially financed by European Funds (FEDER).

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© The authors 2021, corrected publication 2021
This item is protected with a Creative Commons License