DYNAMIC PREDICTION FOR OUT BURST OF COAL AND GAS
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Graphical Abstract
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Abstract
Taking the outburst event of No.71404 working face of Yangquan coal mining area as an example,this paper uses a method of dynamic data processing called regressionself model with sparse coefficients for forecasting to deal with the time series of outburst event's concrete time of this working face. The outcome indicates that this method is efficient, and prediction's precision is very exact, it provides a new method to study and predict outburst of coal and gas efficiently.
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