Predicting the critical superconducting temperature using the random forest, MLP neural network, M5 model tree and multivariate linear regression

  1. Nieto, P.J.G.
  2. Gonzalo, E.G.
  3. García, L.A.M.
  4. Prado, L.Á.-D.
  5. Sánchez, A.B.
Revue:
Alexandria Engineering Journal

ISSN: 1110-0168

Année de publication: 2024

Volumen: 86

Pages: 144-156

Type: Article

DOI: 10.1016/J.AEJ.2023.11.034 GOOGLE SCHOLAR lock_openAccès ouvert editor
La source de données: Scopus