Research On Application Of BP Neural Network In Coal And Gas Outburst

The safety of coal mine is one of the most important tasks in the current coal mineproduction, however, Coal and gas outburst is one of the most serious natural disasters in coalmine safety production. Because of the disasters increasingly heavier, the study of coal andgas outburst prediction is even more important for safety production in coal mine. Combinedwith the synthesizing hypothesis as theory basis in the paper, study the general rules coal andgas outburst in the region’s, and the prediction of coal and gas outburst is studied by applyingthe knowledge of BP neural network.The need and significance of coal and gas outburst risk prediction have been discussed inthe paper, the actualities and limitations of current studying have been summarized, the studyproject and technology routes of coal and gas outburst risk prediction also have beenconfirmed based on BP neural network, and the outburst mechanism of synthesizinghypothesis.The paper study the general rules coal and gas outburst in the region’s, analyzing theinfluencing factors of coal and gas outburst based on the theory basis of synthesizinghypothesis, a hazard assessment index system of coal and gas outburst was build.The paper analyzes a variety of factors controlling and effecting coal and gas outburstabout the synthesized result of stress, gas, coal physics mechanics etc. the controlling factorsof coal and gas outburst hazard prediction was confirmed by applying the theory andknowledge grey system analysis.The mathematical model of coal and gas outburst hazard prediction was established onBP neural network, it was achieved by mathematical software of MATLAB, for example ofYunan mine, the risk degree of the region outburst was evaluated. The method is simple, very practical and operational.