关键词: 卷烟焦油含量, 预测模型, 化学成分, 支持向量机

Abstract: With an analysis of the estimation of cigarettes tar content, an estimation method is proposed based on support vector machine (SVM). Firstly, the algorithm of SVM in regression approximation is introduced. Secondly, The estimation model of cigarettes tar content based on SVM is established. Then, the implementation algorithm of cigarettes tar content estimation using SVM is presented. Finally, an example is used to illustrate the proposed method. It was proved by the example that the support vector machine can estimate the tar content of cigarettes with the measured data of the chemical components of tobacco.

Key words: Cigarettes tar content, estimation model, chemical components, support vector machine