Compositional Identification of Glass Artifacts Based on Regression and Machine Learning
Based on the data of glass artifacts of the CUMCM,regression models such as Lasso regression,backward stepwise regression and robust standard error regression by ordinary least squares(OLS)were used to give linear regres-sion equations for high-potassium and lead-barium glasses,and to identify the chemical composition content of surface weathered artifacts prior to weathering.
NETL
NSTL
万方数据
维普
