Application of RBF Network in the Prediction of Synthetic Geophysical and Geochemical Methods to the Lead-Zinc Polymetallic Deposit
详细信息
- 责任者：Liu Xiaopan (Chengdu University of Technology ; Chengdu 610059 ; China) ; Yan Yusheng
- 刊名：Computing Techniques for Geophysical and Geochemical Exploration
- 出版年：2012
- 卷期：34(2)
- 关键词：铅锌矿床 ; lead-zinc deposit ; 地球物理勘探 ; geophysical exploration ; 地球化学勘查 ; geochemical exploration
- 页码：p.182-185
- 图表：3 illus., 10 refs.
- 分类号：1001
- issnNo：ISSN1001-1749
- isbnNo：CN51-1242/P
摘要
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.
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