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- W2371413612 abstract "In order to predict the rock burst hazard areas accurately, this paper applied Fisher discriminant analysis based on a comprehensive analysis of many factors of rock burst. Provided with 24 groups of related data instances of rock burst from each year offered by Zhangji mine, this study established the Fisher discriminant analysis model of rock burst prediction, whose back substitution accurate rate was 100% while false rate is 0%. This paper applied this model to the problem of rock burst prediction in classification of Zhangji mine, and then compared it with the approach of support vector machine and BP network. The results show that the Fisher discriminant analysis model has a relatively high reliability, high determining efficiency and accuracy, which can be used to predict rock burst effectively." @default.
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- W2371413612 date "2014-01-01" @default.
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- W2371413612 title "Prediction of rock burst based on Fisher discriminant analysis" @default.
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