Application of One-Class Support Vector Machine in Tobacco Leaves Selection
一类支持向量机在烟叶选择中的应用

In order to solve the problem on substitute of tobacco leaves in cigarette blend, a model for selecting tobacco leaves based on one-class support vector machine was proposed. The principle of the model was introduced, and the primary factors influencing the veracity of the model were discussed, then an optimization strategy for the model was presented by joint optimizing of feature selection and parameters for support vector machine. A case study demonstrates that the model could identify the comparability of tobacco leaves according to the measured data of the chemical components of tobacco leaves, which makes it possible to carry out intelligent selection for tobacco leaves.