关键词: 支持向量机, 烟叶感官品质, 评价

Abstract: Support vector machine is a new machine learning algorithm employing the criteria of structural risk minimization,which minimizes the errors between sample-data and model-data and decreases simultaneously the upper bound of predict error of model,SVM’s generalization is better than others. The characteristics of SVM ,such as the strong learing capability based on small samples, the good characteristic of generalization and insensitivity to random noise disturbance, are shown by its applications to the tabacum sensory evalution.

Key words: support vector machine , tabacum sensory, evaluation