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- W2365426915 abstract "The paper puts forward the idea of using fuzzy pattern recognition technique to give dynamic warning on abnormal gas-effusion.First,the lane way's sketch map and monitoring data of gas content index are analyzed,and then the precursory features in abnormal gas-effusing area are extracted as the eigenvectors of pattern recognition so as to analyze the dynamic working situation in lane way and judge whether there is the possibility of abnormal gas-effusion.This method changes coalmine monitoring system's traditional way of after-alarming into early-warning,and thus enhances its feasibility." @default.
- W2365426915 created "2016-06-24" @default.
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- W2365426915 date "2007-01-01" @default.
- W2365426915 modified "2023-09-25" @default.
- W2365426915 title "Gas Content Pre-warning Technology Based on Fuzzy Pattern Recognition" @default.
- W2365426915 hasPublicationYear "2007" @default.
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