标题:Classification of the stability of surrounding rock in mining roadway based on support vector machine
作者:Yongkui, Shi ;Jingyu, Zhang ;Jian, Hao ;Wenying, Li
作者机构:[Yongkui, Shi ;Jian, Hao ] State Key Laboratory Breeding Base, Mine Disaster Prevention and Control in Shandong Province, Shandong University of Scien 更多
来源:Electronic Journal of Geotechnical Engineering
出版年:2014
卷:19
期:Z5
页码:17341-17351
摘要:This article presents the theory of classification and prediction for the stability of surrounding rock in mining roadway based on SVM (Support Vector Machine) which by support vector classification and uses WEKA, MATLAB softwares and the rough set theory to analyze and verify the influences of the intensity index of surrounding rock, the integrity of surrounding rock, mining depth and other nonlinear factors on the stability of mining roadway. The training and prediction of the stability of surrounding rock in mining roadway based on LIBSVM is triumphantly realized; the SVM multi-classification model of the stability of surrounding rock in mining roadway also is established and the accuracy of prediction is greatly improved. The results have shown that it is feasible to classify the stability of surrounding rock in mining roadway by SVM. © 2015 ejge.
收录类别:EI
资源类型:期刊论文
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