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支持向量机在资源评价中的应用研究

Application of SVM in Resource Evaluation

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【作者】 潘浪单明霞

【Author】 PAN Lang,SHAN Ming-xia (Chengdu University of Technology,Chengdu 610051)

【机构】 成都理工大学信息管理学院

【摘要】 我国的矿产资源丰富,大力开展国内矿产资源评价是促进矿产资源可持续供应的重要举措。将SVM(支持向量机)技术应用于矿产资源的评价中,利用SVM法对成矿信息进行分类,进行综合评价,最终得到成矿有利区和成矿远景区的圈定。同时介绍了地质空间数据库的建立、评价指标的选取、图层的栅格化处理等相关技术。

【Abstract】 Mineral resources were rich in our country, vigorously developing the domestic mineral resource evaluation was very important to promote the sustainable supply of mineral resources, which was an important measure.In this paper, it is proposed that the SVM is used to evaluate the mineral resources,to classify the metallogenetic information,and then evaluate comprehensively the result to obtain the favorable metallogenetic area and the delineation of prediction target areas.It is also introduced that the geological spatial database is set up for evaluating,the selection of evaluating indicator, and graph grid processing technologies.

【关键词】 SVM资源评价
【Key words】 SVMresourceassessment
  • 【文献出处】 长江大学学报(自然科学版)理工卷 ,Journal of Yangtze University(Natural Science Edition) Sci & Eng V , 编辑部邮箱 ,2009年04期
  • 【分类号】TP181
  • 【被引频次】1
  • 【下载频次】140
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