模糊模式识别法在成矿预测中的应用  

THE APPLICATION OF THE FUZZY PATTERN RECOGNITION TO PREDICT THE MINERALIZATION

作　　者：董方灵[1] 陈剑祥 赵江南[1] 

机构地区：[1]中国地质大学武汉资源学院数学地质遥感地质研究所,湖北武汉430074 [2]陕西汉中地质大队,陕西汉中723000

出　　处：《新疆地质》2009年第3期294-296,共3页Xinjiang Geology

基　　金：国家自然科学基金项目“分形映射空间数据挖掘及其矿产预测应用”(40272122)资助

摘　　要：西藏是我国铬铁矿最大产出区与成矿远景区,其铬铁矿产出主要受超基性岩体控制.本文使用西藏某区超基性岩体中氧化物百分含量数据,运用模糊模式识别理论,采取随机抽取测试岩体方式,对含矿性已知岩体进行识别,比较几种不同贴近度识别.结果发现海明贴近度识别正确率最高,并使用海明贴近度对含矿性未知岩体进行识别,其结果可靠性较高.The main production and metallogenetic area of chromite in china is Tibet. The chromite was controlled by ultrabasic rocks.Using the data of Oxide percentage in ultrabasic rock of Tibet,the author classify the rocks by theory of fuzzy pattern recognition.by randomly take out tested rock method the author find Hamming closing degree is the highest measurement in five methods.Then the author has predicted the unknown ultrabasic rock to find the 25th rock contained chromite.The final result has high reliability.this method also take the very important academic function as to fine chromite in Tibet.

关 键 词：模糊模式识别 贴近度 超基性岩体 成矿预测 西藏 

分 类 号：P612[天文地球—矿床学]