Analysis of Saccharin Content Based on Terahertz Time-Domain Spectroscopy and PCA-SVM Algorithm
Spectral analysis is an important means of studying the interaction between THz radiation and mat-ter.The transmittance spectra of samples with different levels of saccharin are tested using an all-fiber THz-TDS system,and it is found that the characteristic absorption peaks of saccharin are located around 1.4 THz and 1.7 THz.PCA-SVM method is used to establish the regression model of saccharin content,and the pre-diction results are analyzed and compared with the GA-PLS model.Correlation coefficients and RMSE are in-troduced to evaluate the modeling effect,and the sample set made with a 10％content gradient is tested.The research results show that the RMSE of the prediction models established using PCA-SVM,SVM and GA-PLS methods are 1.885％,1.926％and 2.432％,respectively.Therefore,the PCA-SVM method has the best prediction performance,and the predicted data show a good correlation with the actual data.A content regression prediction model with good performance is obtained,which provides an effective means for the de-tection and analysis of saccharin content.
THz-TDSprincipal component analysissupport vector machinecontent regression prediction model
万方数据
维普
