Abstract
Abstract Screening out sensitivity prediction indexes fit for the coal mine is very important technical work in coal and gas outburst prediction process. The feasibility that principal component analysis method been used in the coal and gas outburst prediction index screening is discussed. Through using gray correlation analysis method and principal component analysis method to analysis a batch of measured data of a coal mine, the validity of the latter is proved. Through the contrast of process between the gray correlation analysis and the principal component analysis method, the vantage of principal component analysis method is obvious, that is the better maneuverability, simplicity and easier to extend.
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