The Application of Bayesian Approach to Discrimination of Mine Water-Inrush Source

• 责任者：Zhang Chunlei (School of Resources and Environmental Engineering ; Hefei University of Technology ; Hefei 230009 ; China) ; Qian Jiazhong
• 刊名：Coal Geology & Exploration
• 出版年：2010
• 卷期：38(4)
• 关键词：突水 ; water gushing ; 贝叶斯分析 ; Bayesian analysis ; 安徽 ; Anhui Province
• 页码：p.34-37
• 图表：1 illus., 4 tables, 12 refs.
• 分类号：1701
• issnNo：ISSN1001-1986
• isbnNo：CN61-1155/P

The paper selected many items of water parameters for each aquifer and applied Bayes method to establish the model of rapidly identifying the water-bursting source for different types-water coal mine. Using SPSS, the example of Huainan Guqiao mine was compared with the fuzzy comprehensive evaluation and neural network model. The results show that Bayes multi-class linear discriminant model has higher discrimination accuracy than the fuzzy comprehensive evaluation and has the same accuracy as neural network model.