Open AccessPartial Least Squares Regression for Predicting the Speed of Electromagnetic Fuze Plate
Author(s) -
Wenyun Wang,
Huarong Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1549/3/032084
Subject(s) - fuze , partial least squares regression , regression analysis , interpretability , regression , least squares function approximation , mathematics , statistics , engineering , computer science , artificial intelligence , materials science , estimator , metallurgy
The partial least squares regression method was used to establish the regression equation of the speed of the fuze plate after cross validation test. Combined with the measured data, the speed of the fuze plate was analyzed. The results show that the partial least squares regression model effectively overcomes the multiple correlation problem of independent variables, has good interpretability and high fitting accuracy, and is an effective method for analyzing the characteristics of the fuze plate’s speed parameters.