物探化探计算技术2012，Vol.34Issue(2)：182-185,4.
RBF网络在铅锌多金属矿综合物化探找矿预测中的应用
摘要
Abstract
Many factors affect mineral deposit location, there is a very complicated nonlinear relationship that has been achieved only qualitative predictions between these factors and the deposit location. RBF neural network can achieve a high degree nonlinear mapping from input to output. In this paper, RBF neural network is used to predict lead-zinc mineral deposit in synthetic geophysical and geochemical exploration prediction in an area of Zhejiang province. The results show that the method has high accuracy, consistent with the high rate of the actual geological conditions, sothat can be used as the prediction method of the concealed deposit.关键词
RBF神经网络/综合物化探找矿预测/矿床定位Key words
RBF neural network/ synthetic geophysical and geochemical exploration prediction/mineral deposit location分类
信息技术与安全科学引用本文复制引用
刘小畔,闫玉生,鲁霞..RBF网络在铅锌多金属矿综合物化探找矿预测中的应用[J].物探化探计算技术,2012,34(2):182-185,4.基金项目
中央地质勘查项目(2009330001) （2009330001）
