Prediction of mechanical strength of cork under compression using machine learning techniques

  1. García, Á.
  2. Anjos, O.
  3. Iglesias, C.
  4. Pereira, H.
  5. Martínez, J.
  6. Taboada, J.
Revue:
Materials and Design

ISSN: 1873-4197,  0264-1275

Année de publication: 2015

Volumen: 82

Pages: 304-311

Type: Article

DOI: 10.1016/J.MATDES.2015.03.038 GOOGLE SCHOLAR
La source de données: Scopus