Open AccessIMPROVING PREDICTION QUALITY WITH XGBOOST MODEL FOR BENDING CAPACITY OF X65 DEFECTED PIPE
Author(s) -
Van-Minh-Thanh Le
Publication year - 2022
Publication title -
kỹ thuật quân sự
Language(s) - English
Resource type - Journals
ISSN - 1859-0209
DOI - 10.56651/lqdtu.jst.v4.n02.340.sce
Subject(s) - finite element method , bending , pipeline (software) , quality (philosophy) , structural engineering , regression analysis , linear regression , computer science , cart , moment (physics) , data mining , engineering , mechanical engineering , machine learning , physics , classical mechanics , quantum mechanics , programming language