The measure to grade the coal and gas outburst based on the nerve network
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Graphical Abstract
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Abstract
Aiming at the electrophoresis of classing outburst mines and practicing the same safety management in our country’s coal industry, with analyzing accident model in work systems, brought up evaluation indexes system. Applying the methods of gray system synthesize evaluation and proof theories, got the outburst dangerous grade samples. Based on it, the dangerous degree measure (dangerous believe degree) was put forward, applied the trained neural network to a few outburst mines engineering verification of Huainan diggings. The research of this text for the demarcation method of outburst mines dangerous grade of out country outburst mines has the certain guidance meaning for establish our country demarcation method and evaluation standard of outburst mines dangerous degree.
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