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Pattern Recognition and Forecast of Coal and Gas Outburst 被引量:4
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作者 LI Sheng ZHANG Hong-wei 《Journal of China University of Mining and Technology》 EI 2005年第3期251-254,共4页
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... 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 spatial data management, the Neuron Network and Cluster algorithm are applied to predict the danger probability of coal and gas outburst in each cell of coal mining district. So a coal-mining district can be divided into three areas: dangerous area, minatory area, and safe area. This achievement has been successfully applied for regional prediction of coal and gas outburst in Hualnan mining area in China. 展开更多
关键词 coal and gas outburst probability prediction pattern recognition geo-dynamic division
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