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.
Aldizkaria:
Alexandria Engineering Journal

ISSN: 1110-0168

Argitalpen urtea: 2024

Alea: 86

Orrialdeak: 144-156

Mota: Artikulua

DOI: 10.1016/J.AEJ.2023.11.034 GOOGLE SCHOLAR lock_openSarbide irekia editor
Datuen iturria: Scopus