Prediction of the Release of Conventional Components in Medium-Sized Cigarette Smoke Based on the Characteristic Parameters of Cigarette Paper
To accurately predict the release of tar,nicotine,and CO in the mainstream smoke of medium-sized cigarettes,a mathematical model for predicting tar,nicotine,and CO release based on cigarette paper characteristic parameters was constructed using the random forest algorithm.The importance ranking and correlation analysis of factors affecting tar,nicotine,and CO release was also conducted.The constructed random forest algorithm models were used to predict the release of tar,nicotine,and CO from 5 medium-sized cigarette samples and compared with the measured values to verify the predictive ability of the model.At the same time,the relative expanded uncertainty that may arise during the detection of tar,nicotine,and CO emissions was measured.The results showed that the random forest algorithm models constructed based on the characteristic parameters of cigarette paper has good accuracy and stability in predicting the release of tar,nicotine,and CO in medium cigarette samples,and the residual prediction of tar,nicotine,and CO release in the model is less than the expanded uncertainty of the detection.
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