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.

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DOI: 10.1016/J.AEJ.2023.11.034 GOOGLE SCHOLAR lock_openOpen access editor HANDLE: https://hdl.handle.net/10612/17454 HANDLE: https://hdl.handle.net/10651/74123

BULERIA. Repositorio Institucional de la Universidad de León: lock_openOpen access Handle

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