Multi-Geological Factors in BP Neural Network Metallogenic Prediction in Gaosong Mining Area of Yunnan
详细信息
- 责任者：Wu Huaping (Key Laboratory of Earthquake Monitoring and Disaster Mitigation Technology ; Guangdong Earthquake Administration ; Guangzhou 510070 ; China) ; Zhao Jiangnan
- 刊名：Journal of Guilin University of Technology
- 出版年：2013
- 卷期：33(1)
- 关键词：BP神经网络系统 ; BP neural network system ; 成矿预测 ; metallogenic prediction ; 云南 ; Yunnan Province
- 页码：p.32-36
- 图表：illus., 3 tables, 13 refs.
- 分类号：1001
- issnNo：ISSN1674-9057
- isbnNo：CN45-1375/N
摘要
The nonlinearity between the deposit characteristics and multi-geological factors by BP network simulation is studied.The metallogenic prediction flow chart by BP neural network is set up.Taking Gaosong mining area as an example,the geological background of mine,ore-controlling factors and geochemical characteristics are analyzed.Metallogenic prediction model of multi-geological factors is built.Four scale-I metallogenic prospective areas(ore-forming favorability>0.6) and two scale-II metallogenic prospective areas(0.6>ore-forming favorability>0.5)are delineated and verified in actual situation by exploration.
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