The mechanism of coal and gas outburst is still controversial, many occurrences of accidents
have been a serious threat to people's life and property safety. In order to reduce the effect of
coal and gas outburst disaster, the prediction of coal and gas outburst situation has a practical significance. Patent describing
intelligent algorithms have been successfully applied in the prediction of coal and gas outburst. The self organizing
feature mapping neural network is a high efficiency algorithm mechanism. Based on a comparison with the self organizing
feature mapping neural network and improved colony clustering method, the accuracy rate of new algorithm is higher
than the old method. This research is good for safety engineering development. The experiments performed demonstrate
the effectiveness of the algorithm; this method has reference significance for the prediction of coal and gas outburst.
Keywords: Coal and gas outburst, intelligent algorithm, self organizing feature mapping neural network, safety engineering.
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