标题:Model of coal gas permeability prediction based on random forest
作者:Yongkui, Shi ;Pengrui, Li ;Jingyu, Zhang
作者机构:[Yongkui, Shi ] State Key Laboratory Breeding Base for Mining Disaster Prevention and Control, Shandong University of Science and Technology, Qingdao, 更多
来源:Electronic Journal of Geotechnical Engineering
出版年:2015
卷:20
期:19
页码:11199-11207
摘要:This paper analyzed and summarized four main influential factors affecting coal gas permeability, which were effective stress, gas pressure, temperature and coal compressive strength. Thirty groups representative coal gas permeability data under different conditions were used for building training samples, and the first twenty-two groups were training samples, the others were to be tested. Then the accuracy of the model was tested by node error rate, detailed accuracy by class, confusion matrix, and so on. The eight groups of sample data to be tested are predicted completely correct. Effective prediction on coal gas permeability will provide theoretical guidance for gas drainage and gas disaster prevention. © 2015 ejge.
收录类别:EI
资源类型:期刊论文
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