基于GIS的人工神经网络矿产预测系统设计及应用  

Design of the ore prospecting system based on the integrated technology of GIS and ANN

作　　者：杨中宝[1] 彭省临[1] 李朝艳[2] 

机构地区：[1]中南大学地学与环境工程学院,湖南长沙410083 [2]云南玉溪师范学院地理科学系,云南玉溪653100

出　　处：《地球科学与环境学报》2005年第1期30-33,共4页Journal of Earth Sciences and Environment

基　　金：国家十五科技攻关项目(2001BA609A 06)

摘　　要：　利用地理信息系统(GIS)和人工神经网络(ANN)相结合,研究了基于 GIS的人工神经网络矿产预测系统设计方案,实现了从地质变量优选到人工神经网络成矿预测结果图形显示的计算机自动化处理。在凤凰山矿田的应用显示,预测结果与现有矿床十分吻合,是矿产预测的有效方法。This paper presents an ore prospecting system on the basis of integration of ANN with GIS.With the help of this system, the prospecting procedure is implemented automatically from the first optimization of geological variables to the final graphical display of prognosis results. The Fenghuangshan copper field is exemplified as the test of its practice in ore prospecting and the results match most of the known facts, showing that the ANN-and GIS-based ore prospecting system is (viable.)

关 键 词：矿产预测 地理信息系统(GIS) 凤凰山矿田 成矿预测 矿床 地质变量 人工神经网络(ANN) 相结合 有效方法 优选 

分 类 号：P618.51[天文地球—矿床学] P208[天文地球—地质学]