Research of Coal Mining Safety Evaluation on Roughset-Svm

Abstract

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 was evaluated, and the final example shows the applicability of this model.