In order to improve the efficiency of obtaining the inherent strains of butt joints,41 sets of numerical simula-tion experiments of butt joints were carried out to obtain the experimental inherent strain values,and based on the experi-mental data,the transverse and longitudinal inherent strain values of butt joints were predicted by the support vector ma-chine regression(SVR)algorithm using the advantages of machine learning methods that can process the data efficiently.Moreover,the root mean square error(RMSE),mean absolute percentage error(MAPE)and coefficient of determination(R2)were used to evaluate the prediction model.The results show that the root mean square error(RMSE)and the mean absolute percentage error(MAPE)of the prediction model are small,and the coefficient of determination(R2)is close to 1.The predictions are accurate.
NETL
NSTL
万方数据
