基于统计判定分析在爆破效果中的评价
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摘要
应用Spss对矿山爆破方案进行可靠性研究,并使用Amos软件建立一个网络模型,在网络模型运行后测得判定系数,最后根据判定系数得出最优方案,并与层次分析法结果进行对比。结果显示,应用网络模型测得爆破方案与层次分析法结果完全一致。
Spss is applied to study the reliability of mine blasting effect, and a network model is established using Amos software. After the network model is running,the determination coefficient is determined.Finally,the optimal solution is determined according to the determination coefficient,and compared with the result of the AHP. The results show that the blasting effect level measured by applying the network model is completely consistent with the results of the analytic hierarchy process.
Spss is applied to study the reliability of mine blasting effect, and a network model is established using Amos software. After the network model is running,the determination coefficient is determined.Finally,the optimal solution is determined according to the determination coefficient,and compared with the result of the AHP. The results show that the blasting effect level measured by applying the network model is completely consistent with the results of the analytic hierarchy process.
引文
[1]任占营.露天矿爆破智能设计与模拟优化系统研发与应用研究[D].北京:中国矿业大学(北京),2016.
[2]李伟,杨仁树.中深孔光面爆破技术在岩石巷道掘进中的应用研究[J].矿冶工程,2013,33(3);21-23.
[3]刘希亮,赵学胜,陆锋,等.基于GA-SVM的露天矿抛掷爆破抛掷率预测[J].煤炭学报,2012,37(12):1 999-2 005.
[4]谷松,崔洪庆,冯文丽.基于灰色理论的小波神经网络对瓦斯涌出量的预测[J].煤炭学报,2007(9):964-966.
[5]赵文璐.员工满意度、组织承诺与员工工作绩效关系研究[D].北京:清华大学,2012.
[2]李伟,杨仁树.中深孔光面爆破技术在岩石巷道掘进中的应用研究[J].矿冶工程,2013,33(3);21-23.
[3]刘希亮,赵学胜,陆锋,等.基于GA-SVM的露天矿抛掷爆破抛掷率预测[J].煤炭学报,2012,37(12):1 999-2 005.
[4]谷松,崔洪庆,冯文丽.基于灰色理论的小波神经网络对瓦斯涌出量的预测[J].煤炭学报,2007(9):964-966.
[5]赵文璐.员工满意度、组织承诺与员工工作绩效关系研究[D].北京:清华大学,2012.