%0 Journal Article
%T Mining formula-syndrome relationship in traditional Chinese medicine with gene expression programming<br>基于基因表达式编程挖掘中医方证关系
%A YU Xian
%A TANG Chang-jie
%A ZHANG Huan
%A QIAO Shao-jie
%A JIANG Yong-guang
%A LIU Juan
%A HAN Pei-yu
%A <br>余弦
%A 唐常杰
%A 张欢
%A 等
%J 计算机应用
%D 2005
%I 
%X To solve the problem in mining formula-syndrome relationship of traditional Chinese medicine,a new approach based on gene expression programming was proposed. An effective and space-saving coding method was presented.The concepts of major homology(HMA) and minor homology(HMI) for formula and syndrome were defined,and a special fitness function based on penalty function method was designed,then the relationship mining algorithm based on improved gene expression programming(MRAGEP) in accordance with the formula-syndrome relationship of traditional Chinese medicine was implemented.It can get an amazing function of good precision.The experiments prove the effectiveness of MRAGEP,and its accuracy is 62.5%.
%K gene expression programming
%K function finding
%K traditional Chinese medicine<br>基因表达式编程
%K 函数发现
%K 传统中医药
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=D5E53476F15D6589&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=708DD6B15D2464E8&sid=C54FD882220E5646&eid=AB28418662CBE072&journal_id=1001-9081&journal_name=计算机应用&referenced_num=4&reference_num=7