Application of Artificial Neural Network in Discriminating Water Inrush Sources in Zhangji Coal Mine

摘要：

　　Artificial neural network theory was applied in this paper for discriminating water inrush sources in Zhangji coal mine,Huainan.And a neural network discrimination model was set up as well based on the relationship between water quality characteristics of aquifers and the six common ion input factors.Comparing with the analytical model of fuzzy comprehensive evaluation and gray related degree respectively,discrimination result shows the ANN model has the greatest accuracy and is more proper for water inrush sources discrimination in study area.

关键词： Zhangji mine artificial neural network water inrush sources discrimination

作者: Yinxue Peng Xiaoping Zhou Guoming Zhang Zhengdao Xiang

作者单位: School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009 Zhangji Coal Mine of Huainan Mining Industry(group)Co., Ltd., Huainan 232002, China

会议类型: 国际会议

会议名称: The 5th International Conference on Environmental Technology and Knowledge Transfer(第五届环境技术及知识转化国际会议)

会议地点: 合肥

会议语种:英文

页码: 224-228

在线出版日期: 2014-05-16（万方平台首次上网日期，不代表论文的发表时间）