SVM方法及其在乳制品分类问题上的应用

Introduction of the SVM and Its Application in the Dairy Products Classification

介绍了支撑向量机(Support Vector Machine,SVM)方法的基本原理,针对乳制品分类问题,给出了一个SVM应用实例,并与其他机器学习方法作了比较。结果表明,SVM方法具有有效性和可行性。

This study aimed to introduce the principles of the SVM first, and then makes an application in the milk classification. Comparing with other machine learning method, the final results proved the effectiveness of SVM methods, as well as feasibility.