%0 Journal Article
%T Mining inverse function based on gene expression programming with dynamic fitness<br>基于动态适应度的基因表达式编程挖掘反函数*
%A ZHU Jun
%A TANG Chang-jie
%A WEI Da-gang
%A DUAN Lei
%A ZUO Jie
%A <br>朱军
%A 唐常杰
%A 魏大刚
%A 段磊
%A 左劼
%J 计算机应用研究
%D 2007
%I 
%X To improve the efficiency of the GEP discovering knowledge,this paper proposed and implemented the dynamic fit- ness function of GEP.Applied the precision stepwise adaptation of weights to the dynamic adaptation of the GEP fitness func- tion.Took the linear N dimension vector function as a component of the GEP fitness function,with which improved the compu- ting efficiency.Gave extended experiments on inverse function mining and equation solving to show that the new method im- proves the precision of the inverse function by around 8% compare to the traditional GEP.
%K data mining
%K gene expression programming(GEP)
%K stepwise adaptation of weights(SAW)
%K fitness<br>数据挖掘
%K 基因表达式编程
%K 逐步权重自适应
%K 适应度
%K 动态适应度
%K 基因表达式
%K 编程
%K 挖掘
%K 反函数
%K fitness
%K dynamic
%K programming
%K gene
%K expression
%K based
%K inverse
%K function
%K 性能提高
%K 优势
%K 精确度
%K 函数表达式
%K 方法
%K 实验
%K 方程求解
%K 向量函数
%K 线性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C793235A4E87B8F6EE75A0BF76492C88&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=9CF7A0430CBB2DFD&sid=1371F55DA51B6E64&eid=ECE8E54D6034F642&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=3&reference_num=10