基于人工免疫理论的化探数据降噪方法  

THE ARTIFICIAL IMMUNITY THEORY-BASED DE-NOISE METHOD FOR PROCESSION OF GEOCHEMICAL DATA

作　　者：黄厚辉[1] 蒋友欣[1] 汪宝存[1] 

机构地区：[1]成都理工大学信息管理学院,成都610059

出　　处：《地质找矿论丛》2007年第2期149-151,共3页Contributions to Geology and Mineral Resources Research

摘　　要：在对化探数据的处理时,把原始数据中的干扰去掉,以保留数据中的真实信息,是迫切需要解决的问题。文章引入由仿生物免疫系统而衍生出的人工免疫方法来对化探数据进行降噪,以达到优化数据,提高异常圈定准确度的目的。通过对藏东某地Ag的化探数据的处理,验证了该方法的优越性。when we deal with the geochemical data, we are always disturbed by the noise. How to get rid of the disturbance from original data noise and keep the true information is now an urgent problem to solve. In this dissertation, we introduce the artificial immunity method derived from the immunity system of organism to de-noise and extract the optimum data and outline anomaly accurately. The geochemical data of Ag of the east Tibet is processed by the method that proves it superior than others.

关 键 词：人工免疫 化探异常 降噪 化探数据 

分 类 号：P632[天文地球—地质矿产勘探]