Intensity Forecasting of Coal and Gas Outburst Based on Gray Neural Network in Xi'an Coal Field

Through the grey relevance analysis of the intensity of coal and gas outburst in Xin'an Coal Field, we determined the outburst factors of intensity of coal and gas outburst. Improved BP algorithm was used to predict the intensity of coal and gas outburst of Xi'an Coal Field. The results show that the thickness of the roof of sandstone is the main influence factors of coal outburst intensity and then there are the coal thickness and gas pressure, large-scale outbursts are mainly in the place where the thickness sandstone roof is heavy and the gas pressure is greater, such as in the southwest of Xin'an Mine and in the middle of Xinyi Mine where the faults are intensive, also on the surrounding of F₂₉ fault in the middle of Yi'an Mine, the intensity of coal and gas outburst is higher.