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基于分组主成分分析法的大学生综合素质测评研究 被引量:2
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作者 侯小洁 张俊华 《赤峰学院学报(自然科学版)》 2018年第8期144-148,共5页
采用分组主成分分析法,选取7个评价指标,构建大学生综合素质测评模型,以商洛学院2015级食品科学与工程专业68名学生2015-2016学年的综合素质测评计算为例进行分析,并将结果与常规算法进行了比较.结果表明:两种算法的计算结果差异很大,... 采用分组主成分分析法,选取7个评价指标,构建大学生综合素质测评模型,以商洛学院2015级食品科学与工程专业68名学生2015-2016学年的综合素质测评计算为例进行分析,并将结果与常规算法进行了比较.结果表明:两种算法的计算结果差异很大,用分组主成分分析法构建模型来计算大学生综合测评成绩更科学,优势也更明显.综合测评成绩和排名可直接作为学生评奖评优的依据,综合测评各因子得分可为学生努力指明方向,为教师管理提供参考. 展开更多
关键词 大学生 综合素质测评 分组主成分分析法
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Dynamic failure in coal seams Implications of coal composition for bump susceptibility 被引量:6
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作者 Lawson Heather Weakley Andrew Miller Arthur 《International Journal of Mining Science and Technology》 SCIE EI CSCD 2016年第1期3-8,共6页
As a contributing factor in the dynamic failure(bumping) of coal pillars,a bump-prone coal seam has been described as one that is ‘‘uncleated or poorly cleated,strong...that sustains high stresses."Despite exte... As a contributing factor in the dynamic failure(bumping) of coal pillars,a bump-prone coal seam has been described as one that is ‘‘uncleated or poorly cleated,strong...that sustains high stresses."Despite extensive research regarding engineering controls to help reduce the risk for coal bumps,there is a paucity of research related to the properties of coal itself and how those properties might contribute to the mechanics of failures. Geographic distribution of reportable dynamic failure events reveals a highly localized clustering of incidents despite widespread mining activities. This suggests that unique,contributing geologic characteristics exist within these regions that are less prevalent elsewhere. To investigate a new approach for identifying coal characteristics that might lead to bumping,a principal component analysis(PCA) was performed on 306 coal records from the Pennsylvania State Coal Sample database to determine which characteristics were most closely linked with a positive history of reportable bumping. Selected material properties from the data records for coal samples were chosen as variables for the PCA and included petrographic,elemental,and molecular properties. Results of the PCA suggest a clear correlation between low organic sulfur content and the occurrence of dynamic failure,and a secondary correlation between volatile matter and dynamic failure phenomena. The ratio of volatile matter to sulfur in the samples shows strong correlation with bump-prone regions,with a minimum threshold value of approximately 20,while correlations determined for other petrographic and elemental variables were more ambiguous. Results suggest that the composition of the coal itself is directly linked to how likely a coal is to have experienced a reportable dynamic failure event. These compositional controls are distinct from other previously established engineering and geologic criteria and represent a missing piece to the bump prediction puzzle. 展开更多
关键词 CoalBumpBounceDynamic failurePillar burst
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