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Prediction method of rock burst proneness based on rough set and genetic algorithm

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A new method based on rough set theory and genetic algorithm was proposed to predict the rock burst proneness. Nine influencing factors were first selected, and then, the decision table was set up. Attributes were reduced by genetic algorithm. Rough set was used to extract the simplified decision rules of rock burst proneness. Taking the prac-tical engineering for example, the rock burst proneness was evaluated and predicted by decision rules. Comparing the prediction results with the actual results, it shows that the proposed method is feasible and effective.

rock burst pronenessrough setgenetic algorithmrule

YU Huai-chang、LIU Hai-ning、LU Xue-song、LIU Han-dong

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College of Resource and Environment, North China University of Water Conservancy and Electric Power, Zhengzhou 450011, China

Faculty of Engineering, China University of Geosciences, Wuhan 430074, China

thc Youth Science Foundation of North China University of Water Conservancy and Electric Power

HSQJ2009016

2009

中国煤炭(英文版)
煤炭信息院

中国煤炭(英文版)

ISSN:1006-5318
年,卷(期):2009.15(4)
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