Partial Least Squares Regression for Predicting the Speed of Electromagnetic Fuze Plate

Abstract

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.