Fuzzy Discriminatory Analysis 模糊判别分析
stepwise discriminatory analysis 逐步判别分析
linear discriminatory analysis 线性判别法
grey theory discriminatory analysis 灰色判别分析法
multiple-order discriminatory analysis 多级判别
Dynamic hienchy discriminatory analysis 动态综合层次判别分析
The correct rate of using Fisher discriminatory analysis,Bayes discriminatory analysis as well as support vector machine to analyze relationship between cold-heat nature of Chinese herbs and inorganic elements were 60.00%,78.75% and 95.00% respectively.
运用Fisher判别分析方法和Bayes判别分析方法对药物寒热药性进行判别,正确率分别为60.00%和78.75%;利用支持向量机判别药物寒热药性,正确率为95.00%。
参考来源 - 植物类中药寒热药性与无机元素相关性研究·2,447,543篇论文数据,部分数据来源于NoteExpress
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