大数据背景下的金属矿综合信息找矿模型构建研究  

Research on the construction of comprehensive information ore-prospecting model for metal ore under the background of big data

作　　者：刘畅 LIU Chang(The first Institute of Geology and mineral exploration of Gansu Bureau of Geology and mineral exploration and development,Tianshui 741020,China)

机构地区：[1]甘肃省地质矿产勘查开发局第一地质矿产勘查院

出　　处：《世界有色金属》2020年第1期84-85,共2页World Nonferrous Metals

摘　　要：大数据处理遵循数据采集、数据处理、数据分析、数据解释的流程,利用大数据技术对多金属矿找矿专题数据进行自动采集,建立传统多金属矿综合信息找矿模型与数据库,明确控矿要素,同时,以机器学习方法中的支持向量机理论为指导深层分析与解释数据,提出基于大数据的多金属矿综合信息找矿模型预测方法,可提供一定理论借鉴,以此完成找矿前景分析。Large data processing following the data acquisition,data processing,data analysis and data interpretation process,using big data technology for polymetallic ore prospecting project for automatic data acquisition,traditional polymetallic comprehensive information prospecting model is set up and the database,ore-controlling factors,at the same time,in order to machine learning method of support vector machine(SVM)theory as the instruction deep analysis and interpret data,based on comprehensive information of the large data polymetallic ore prospecting model prediction method,can provide a certain theory reference,to complete the prospecting prospect is analyzed.

关 键 词：大数据 金属矿 找矿模型 向量机 

分 类 号：P612[天文地球—矿床学]