Application of BP Neural Network in the Classification of Geo-Chemical Survey Data
详细信息
- 责任者：Yin Jiangning (Institute of Mineral Resources ; Chinese Academy of Geological Sciences ; Beijing 100037 ; China) ; Xiao Keyan
- 刊名：Geological Bulletin of China
- 出版年：2010
- 卷期：29(10)
- 关键词：BP神经网络系统 ; BP neural network system ; 地球化学勘查 ; geochemical exploration
- 页码：p.1564-1571
- 图表：6 illus., 2 tables, 10 refs.
- 分类号：1900
- issnNo：ISSN1671-2552
- isbnNo：CN11-4648/P
摘要
As an calculation model with high non-linear mapping ability, BP neural network has excellent non-linear approximation. When dealing with geo-chemical survey data and mineral resources potential assessment, many problems have non-linear features. At present, it is the first choice in terms of forward network. In the paper, geochemical survey data of East Tianshan Mountains was applied to be tested. The authors use the typical gold deposit and copper deposit of East Tianshan Mountains to classify the deposit scale and deposit type. The result shows that improved BP network has good convergence and high study efficiency and it can ideally classify the geochemical survey data.