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Coal and gas outburst is a complicated dynamic phenomenon in coal mines, Multi-factor Pattern Recogni-tion is based on the relevant data obtained from research achievements of Geo-dynamic Division, With the help of spa-tial data management, the Neuron Network and Cluster algorithm are applied to predict the danger probability of coaland gas outburst in each cell of coal mining district. So a coal-mining district can be divided into three areas: dangerousarea, minatory area, and safe area. This achievement has been successfully applied for regional prediction of coal andgas outburst in Huainan mining area in China.
Coal and gas outburst is a complicated dynamic phenomenon in coal mines, Multi-factor Pattern Recognition is based on the relevant data obtained from research achievements of Geo-dynamic Division, With the help of spa-tial data management, the Neuron Network and Cluster algorithm are applied to predict the danger probability of coaland gas outburst in each cell of coal mining district. So a coal-mining district can be divided into three areas: dangerousarea, minatory area, and safe area. This achievement has been successfully applied for regional prediction of coal andgas outburst in Huainan mining area in China.