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International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3

Yi Xie
Yi Xie
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ASME Press
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Through the impact of fully mechanized coal mining face security personnel, equipment, operating environment and the analysis of geological environment, the establishment of a fully mechanized coal mining face safety evaluation index system is presented based on rough sets - Support Vector Machine fully mechanized coal mining face Safety assessment model. Model application method of rough set evaluation index system of attributes, eliminate redundant attributes, thus reducing the input of SVM learning sample dimension, on this basis, the use of SVM regression nonlinear characteristics of good evaluation model Of coal mine production safety mechanized mining face was evaluated, with the final example shows the applicability of this model.

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