Neural network risk prediction for gas emission of working face
The gas is an important factor which causes production accidents in coal mine. In order to predict the risk of gas emission, according to the BP neural network theory, a risk prediction model for gas emission of working face is established. The neural network prediction model give a comprehensive consideration of various influence factors of gas emission, so it overcome the shortages of the traditional prediction methods that have to preset certain function and increase the prediction precision of the gas emission. The practical application demonstrates that the prediction model is reliable and its precision is enough to meet the practical usage.
gas emission neural network risk prediction
LIANG Huazhen ZHANG Jinfeng SUN Zhongqiang
School of Environment Science and Engineering,Hebei University of Science and Technology,Shijiazhuang 050018,China
国际会议
2008 International Conference on Risk and Relianility Management(2008风险与可靠性管理国际会议)
北京
英文
515-517
2008-11-10(万方平台首次上网日期,不代表论文的发表时间)