大采高开采条件下导水裂隙带发育高度预测研究  

Prediction of Development Height of Water Flowing Fractured Zone under Condition of Large Mining Height

作　　者：陈元非 査剑锋 王磊 徐孟强[1,2] 张正华[1,2] 李晋龙[1,2] 

机构地区：[1]中国矿业大学环境与测绘学院,江苏徐州221116 [2]国土环境与灾害监测国家测绘地理信息局重点实验室,江苏徐州221116 [3]安徽理工大学测绘学院,安徽淮南232001

出　　处：《煤炭技术》2017年第6期176-178,共3页Coal Technology

摘　　要：为了提高大采高开采条件下导水裂隙带高度预测准确度,结合BP神经网络模型,通过进行导水裂隙带高度影响因素的主成分分析,建立了以采高和岩性为主要影响因素的BP网络导水裂隙带高度预测模型,并通过实例对模型效果进行了验证。In order to improve the prediction accuracy of the water flowing fractured zone under the condition of large mining height,combines the BP neural network model,by analysising the principal component of factors affecting the height the water flowing fractured zone, established the BP network factors of water flowing fractured zone height prediction model with the mining height and lithology as mainly affecting,and verified by an example.

关 键 词：大采高开采 导水裂隙带高度 BP神经网络 

分 类 号：TD823.83[矿业工程—煤矿开采] TD745[矿业工程—矿山开采]