毛政利,刘之葵,赖健清,杨斌.铜陵凤凰山铜矿区多源信息综合集成成矿预测模型探讨[J].地质找矿论丛,2008,(1):58-61
铜陵凤凰山铜矿区多源信息综合集成成矿预测模型探讨
DISCUSSION ON THE METALLOGENIC PREDICTION MODEL OF SYNTHETIC INTEGRATED MULTIPLE INFORMATION IN FENGHUANGSHAN ORE DISTRICT,TONGLING
投稿时间:2006-04-26  
DOI:10.6053/j.issn.1001-1412.2008.1. 011
中文关键词:  多元信息综合集成  历史-动力分析方法  BP人工神经网络  成矿预测模型  铜陵凤凰山铜矿
英文关键词:synthetic integrated multiple information  historsitic-dynamic analysis  BP artificial neural network  the model of metallogenic prediction  Fenhuangshan of Tongling
基金项目:国家“十五”科技攻关项目(编号:2001BA609A-06)资助
作者单位
毛政利 平顶山工学院, 测绘与国土信息系, 河南, 平顶山, 467001 
刘之葵 桂林工学院, 广西, 桂林, 541000 
赖健清 中南大学, 地学与环境工程学院, 长沙410083 
杨斌 中南大学, 地学与环境工程学院, 长沙410083 
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中文摘要:
      在研究凤凰山铜矿区成矿地质背景和成矿作用过程的基础上,运用历史分析和动力分析的综合分析方法,结合现代成矿预测理论,提取了本区多元地学信息综合集成的成矿预测信息,并利用具有较强的非线性拟合功能的BP人工神经网络模型,探讨建立了本区多元信息综合集成的成矿预测模型。
英文摘要:
      Based on the detail studies of geological settings and processes of metallogeny in Fenhuangshan ore district,combined with modern theories of metallogenic prediction,the informations of metallogenic prediction of synthetic integrated multiple geoscience informations have been extracted by using the synthetic and historistic and dynamic analysis.The model of metallogenic prediction of synthetic integrated multiple information in the district has been discussed and constructed with taking advantage of the BP artificial neural network,which has strong fitting function of nonlinear.
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