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Currently the forecasting of gas outburst and explosion is one of the issues to be solved in China's coal mine safety production. Based on the LM optimization algorithm of BP neural network, this paper discussed the mathematical model, network architecture and programming design of establishing the neural network prediction model on gas disaster with keeping the relationship among the spatial entities and their distributions, and tested an instance of Jining No. 2 coal mine. The result showsdoi:10.12677/ag.2012.22012 fatcat:3m6xsvaskrbfdbhjzfal7gj44u