Prediction of the Diagrams of Fatigue Fracture of D16T Aluminum Alloy by the Methods of Machine Learning
Crossref DOI link: https://doi.org/10.1007/s11003-018-0189-9
Published Online: 2018-12-04
Published Print: 2018-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Yasnii, О. P.
Pastukh, O. А.
Pyndus, Yu. І.
Lutsyk, N. S.
Didych, I. S.
Text and Data Mining valid from 2018-11-01
Article History
Received: 9 August 2018
First Online: 4 December 2018