摘要
提出了基于支持向量机的分类原理对鸢尾属植物进行分类的方法。支持向量机是在统计学习理论基础上提出的一种新型的通用学习方法,主要应用于数据的分类和回归估计,而植物分类的主要依据是植物的外观特征。通过提取植物的特征数据和使用支持向量机算法获得实验结果,实验结果表明,采用支持向量机对植物分类是可行的。
This article presents a new method of plant classification of iris based on the support vector machine classification principle.The support vector machine is one new general learning method, which proposed in the statistical Learning Theory,mainly applied in the data classification and regression estimate, meanwhile the main basis in plant classification is plant＇s outward characteristic. The result of experiment can be made by apply the algorithm of SVM and withdraws the characteristic data of the plant. The result in this experiment indicates that it is feasible to apply the support vector machine to classify the plant.
出处
《科技通报》
2007年第3期404-407,共4页
Bulletin of Science and Technology
基金
国家863计划(2003AA1Z1150)
