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利用GIS知识驱动模型开展区域矿产资源预测
引用本文:陈江,付建飞. 利用GIS知识驱动模型开展区域矿产资源预测[J]. 地质与勘探, 2005, 41(5): 66-68
作者姓名:陈江  付建飞
作者单位:中国地质科学院,北京,100037;沈阳地质矿产研究所,沈阳,110032;东北大学资源与土木工程学院,沈阳,10032
摘    要:在GIS环境中可以用多种模型来处理各类图件.文章重点强调了经验模型,即从专家角度主观地控制各类参数.当处理GIS图件时,布尔逻辑,索引叠加模型和模糊逻辑是3个基本的重要的方法.这些模型适合于勘查区选择,还可以根据其成矿潜力进行分级.文章介绍了3种模型的意义,并用实例方法阐述了如何在一个成矿远景区开展矿产资源预测工作.

关 键 词:GIS  知识驱动模型  布尔逻辑  索引叠加模型  模糊逻辑
文章编号:0495-5331(2005)05-0066-03
收稿时间:2004-11-29
修稿时间:2005-03-11

MINERAL EXPLORATION PREDICTION BASED ON GIS KNOWLEDGE-DRIVEN MODEL
CHEN Jiang,FU Jian-fei. MINERAL EXPLORATION PREDICTION BASED ON GIS KNOWLEDGE-DRIVEN MODEL[J]. Geology and Prospecting, 2005, 41(5): 66-68
Authors:CHEN Jiang  FU Jian-fei
Affiliation:1. Chinese Academy of Geological Science, Bijieng 100037; 2. Shenyang Institute of Geology and Mineral Resources, Shenyang 110032 ; 3. Institute of Resources and Civil Engineering, Northeast University, Shenyang 110004
Abstract:In GIS, many models could be used for exploration prediction. Sometimes empirical model needs expert knowledge, and parameters are decided by experts. When dealing with the GIS multiple maps, Boolean logic, index overlay model and fuzzy logic are the basic model. These models are suitable for the region selection of mineral exploration and classification of mineralizing potential. The paper introduces the meaning of models and demonstrates how to carry out mineralization prediction in a potential area.
Keywords:GIS
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