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Machine Learning Methods for the Prediction of Abraded Butadiene-Styrene Rubber Surface Roughness
Author(s) -
Loreta Mačėnaitė,
Dovydas LUGAS,
Eglė Fataraitė
Publication year - 2022
Publication title -
materials science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.208
H-Index - 24
eISSN - 2029-7289
pISSN - 1392-1320
DOI - 10.5755/j02.ms.31288
Subject(s) - abrasive , natural rubber , materials science , surface roughness , styrene butadiene , random forest , grain size , composite material , surface finish , correlation coefficient , surface (topology) , mathematics , statistics , machine learning , geometry , computer science , styrene , copolymer , polymer

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