摘要
本文采用贝叶斯分类法,以金属元素含量对30多个铁矿石样品来源进行分类。研究结果发现,与传统的分类方法相比,贝叶斯分类法对样品来源分类时具有较高的准确度。并且相对于SVM方法要简单。
There are some metal elements of 30 ironstone sample with different origin, Bayesian classification was applied for this purpose. The. results show that the performance of Bayesian classification based on the contents of metal elements is acceptable for specification of the product＇s geographical origin. And it is easier than SVM classification.
出处
《科技信息》
2007年第16期93-93,97,共2页
Science & Technology Information
关键词
贝叶斯分类法
铁矿石样品
金属元素
Bayesian classification
ironstone sample
Metal element
