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基于模糊神经网络的义县萤石成矿预测
引用本文:孙祥,杨子荣,徐大地.基于模糊神经网络的义县萤石成矿预测[J].地质找矿论丛,2008,23(2):149-152.
作者姓名:孙祥  杨子荣  徐大地
作者单位:1. 辽宁工程技术大学,资源与环境工程学院,辽宁,阜新,123000
2. 辽宁省化工地质勘查院,辽宁,锦州,121000
基金项目:辽宁省国土资源科学技术计划研究项目和辽宁工程技术大学基金联合资助项目
摘    要:成矿预测的模糊综合评判方法中评价因素权重确定时具有较强的人为因素,模糊神经网络方法可以建立在无模型基础上,自动获取输入与输出的关系,在专家确定权重初始值的情况下,通过网络训练确定出最优权重值,这在一定程度上减少了人为因素的影响.应用该方法对义县萤石成矿远景区进行了评价,其评价结果与实际一致.表明该方法可推广到其他区域、其他矿种的预测,但应根据预测对象的实际情况建立控矿因素集和相应的隶属度函数.

关 键 词:萤石  成矿预测  模糊神经网络  义县  辽宁
收稿时间:2007/4/4 0:00:00
修稿时间:2007/7/11 0:00:00

THE FUZZY-NEURAL NETWORK-BASED FLUORITE DEPOSIT PREDICTION IN YIXIAN
SUN Xiang,YANG Zi-rong and XU Da-di.THE FUZZY-NEURAL NETWORK-BASED FLUORITE DEPOSIT PREDICTION IN YIXIAN[J].Contributions to Geology and Mineral Resources Research,2008,23(2):149-152.
Authors:SUN Xiang  YANG Zi-rong and XU Da-di
Institution:Liaoning Technical University, Fuxin 123000, Liaoning, China;Liaoning Technical University, Fuxin 123000, Liaoning, China;Liaoning Chemical Geological Prospecting Insititute, Jinzhou 121000, Liaoning, China
Abstract:Fuzzy-neural network is a method established without any model and may automatically get the relationship between input and output.With the initial weighting value established by experts the optimum weighting can be obtained by network training which can weaken the influence of man-induced factors.The method was applied in the prediction of fluorite deposit in Yixian with result correspondent to the fact and it can be used in other fields and predication of other ore deposit if the metallotect and the grade of membership are correctly established on practical situation of appraisal area.
Keywords:fluorite  metallogenic prognosis  fuzzy-neural network  Yixian  Liaoning province
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