摘要
在深入研究分析黑龙江省西北部金矿成矿地质背景的基础上,以地理信息系统为平台(GIS),建立了地质、物探、化探和遥感数据库,用字符串表示研究区地质点的各种地质信息组合,利用自组织特征映射(SOM)神经网络对其进行模式分类,圈定了金矿成矿有利区,这一研究对该地区今后的矿产资源预测与评价有重要的参考价值。
Based on the comprehensive analysis on gold mineralization geological background in northeast Heilongjiang province, geological, geophysical, geochemical and remote sensing databases have been established with GIS platform. Self-Organizing Feature Map （SOM） neural network is used to classify the character strings presenting various geological information in a certain geological point, and then advantaged gold mineralization zone are figured out. The results are of great reference value to mineral resources prediction and evaluation in the area.
出处
《黄金》
CAS
北大核心
2008年第11期12-15,共4页
Gold
关键词
SOM网络
GIS
成矿预测
金矿
黑龙江省西北部
SOM neural network
GIS
mineralization prediction
gold mine
northeast Heilongjiang province
