Forecast and Analysis of Coal Mine Safety Accidents Based on BP Neural Network and GM Model

摘要：

With the rapid development of coal industry, China has become the largest coal-consuming country in the world, but coal mining accidents frequently happen. Therefore, safety situations in production cannot be ignored. Safety accident forecast is a crucial measure to reduce the accident incidence of coal mine enterprises. In this thesis, BP Neural Network and GM Model are combined to forecast and analyze safety accidents of coal mines. Improved forecast accuracy will provide coal mine enterprises with more precise data, on which they will base their scientific safety management.

关键词： safety accident BP neural network grey forecast grey neural network

作者: Heng MA Yue-min ZHU

作者单位: College of Safety Science and Engineering Liaoning Technical University Fuxin, China

会议类型: 国际会议

会议名称: 2011 2nd IEEE International Conference on Emergency Management and Management Sciences(2011年第二届IEEE应急管理与管理科学国际会议 ICEMMS 2011)

会议地点: 北京

会议语种:英文

页码: 109-111

在线出版日期: 2011-08-08（万方平台首次上网日期，不代表论文的发表时间）