摘要
支持向量机是数据挖掘中用于解决分类、回归等问题的算法.通过对大量实例的研究发现,将支持向量机运用到中医辨证施治中可以弥补传统中医辨证中的人为不准确性,具有良好的实用价值.
Support Vector Machine is a Data Mining algorithm used in classification and regression etc,it is applied to the syndrome diagnosis of Traditional Chinese Medicine, through the research to a large number of living examples, this algorithm can make up the man＇ s inaccuracy in syndrome diagnosis of TCM, and it has great practical value.
出处
《华北水利水电学院学报》
2007年第3期55-56,共2页
North China Institute of Water Conservancy and Hydroelectric Power
基金
河南省科技厅自然科学基金项目(2007KYCX018)
关键词
数据挖掘
支持向量机
症候
辨证施治
data mining
support vector machine
syndrome
syndrome diagnosis
