山东煤炭科技Issue(7)：135-137,3.DOI:10.3969/j.issn.1005-2801.2015.07.67
基于统计学及多元线性回归的小断层研究及预测
Prediction on small faults based on statistics and multiple linear regression
摘要
Abstract
Problems against mining safty and efifciency which are caused by small faults happen frequently. Based on small faults data from No.11, 13, 15 coal seam, the paper studied the statistical characteristics of these faults and found their development rules. Then the correlations among factors were studied by scatter diagram. it turns out that the extended length of faults is related to corresponding fault factors, fault dip and fault throw. a prediction model based on multiple linear regression is built. The dependability of the model is examined by operational data. The model is of some signiifcance for mining.关键词
小断层预测/多元回归分析/统计学特征Key words
prediction on small faults/multiple linear regression/statistical characteristics分类
天文与地球科学引用本文复制引用
滕超,施龙青,邱梅..基于统计学及多元线性回归的小断层研究及预测[J].山东煤炭科技,2015,(7):135-137,3.基金项目
教育部高等学校博士学科点专项科研基金（高等学校博士学科点专项科研基金）；青岛经济技术开发区重点科技发展计划项目（其他）；山东科技大学科研创新团队支持计划 （）
