摘要
确定了综放回采巷道围岩稳定性的分类指标 ,并用判断矩阵分析法确定了分类指标的权值 ,应用人工神经网络的方法对综放回采巷道围岩稳定性分类进行综合研究 ,将 36条综放回采巷道分为 3个类别 ,并确定了各个类别的聚类中心 .
The stability classification indexes of mining roadway for fully mechanized sublevel caving face are chosen, their weights are worked out with the judging matrix analytical method. With the method of artificial neural networks, 36 mining roadways for fully mechanized sublevel caving face are classified as 3 kinds and their clustering centers are figured out.
出处
《煤炭学报》
EI
CAS
CSCD
北大核心
2000年第5期469-472,共4页
Journal of China Coal Society
关键词
综放回采巷道
围岩
稳定性
分类
人工神经网络
mining roadway for fully mechanized sublevel caving face
stability classification
artificial neural network
