• 责任者：Liang Bing (College of Mechanics and Engineering ; Liaoning Technical University ; Fuxin 123000 ; China) ; Li Gang
• 刊名：The Chinese Journal of Geological Hazard and Control
• 出版年：2009
• 卷期：20(1)
• 关键词：BP神经网络系统 ; BP neural network system ; 矿坑涌水量预算 ; estimating water yield of mine ; 北京 ; Beijing
• 页码：p.122-125
• 图表：3 illus., 2 tables, 7 refs.
• 分类号：1701
• issnNo：ISSN1003-8035
• isbnNo：CN11-2825/P

Water yield of coal mine was significantly influenced by rainfall in Changgouyu Coal Mine, the accidents of flooding well had happened. In this paper, water filling factors of mine and its influence degree were analyzed and BP artificial neural network was used. The prediction model of mine inrush water in Changgouyu mine was also established. The model was verified by predicting the most water yield of +141 and +20 level roadway in 2006 and 2007 respectively, and water yield of mine in Changgouyu coal mine was predicted for different rainfall based on the model.