基于人工免疫理论的化探数据降噪方法  

THE WAY OF DE-NOISING GEOLOGICAL ANOMALY DATA BASED ON ARTIFICIAL IMMUNITY INFORMATION COMBINATION THEORY

作　　者：蒋友欣[1] 黄厚辉[1] 

机构地区：[1]成都理工大学信息管理学院,四川成都610059

出　　处：《新疆地质》2007年第1期119-121,共3页Xinjiang Geology

摘　　要：在对化探数据的处理时,常伴有噪声的干扰.怎么样把原始数据中的干扰去掉,而保留数据中的真实信息,就成为迫切需要解决的问题.本文旨在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的化探数据处理,验证了该方法的优越性.When dealing with the geological anomaly data, we are always disturbed by the noise. How to get rid of the disturbance from the original data and keep the true information have become the in＇st thing to resolve. In this dissertation, we De-noised the data by artificial immunity information combination theory based on biology-immunity. In this way, the data has been optimized and the accuracy of circling the geological anomaly area has been promoted. Taking element Ag from east Tibet as an example has proved its superiority to others.

关 键 词：人工免疫 化探异常 降噪 

分 类 号：P632[天文地球—地质矿产勘探]