| 李国辉,刘永,彭洁,招国栋.基于多元线性回归理论的矿岩可爆性指数模型的优化与分级[J].南华大学学报(自然科学版),2015,29(4):38~42, 49.[LI Guo-hui,LIU Yong,PENG Jie,ZHAO Guo-dong.Optimization and Classification of Index Model of Mine Rock BlastabilityBased on Multiple Linear Regression Theory[J].Journal of University of South China(Science and Technology),2015,29(4):38~42, 49.] |
| 基于多元线性回归理论的矿岩可爆性指数模型的优化与分级 |
| Optimization and Classification of Index Model of Mine Rock BlastabilityBased on Multiple Linear Regression Theory |
| 投稿时间：2015-06-09 |
| DOI： |
| 中文关键词: 可爆性 相关系数 多元线性回归 分级 |
| 英文关键词:blastability correlation coefficient multiple linear regression classification |
| 基金项目:环境保护部科研基金资助项目(监管1409&监管1509);湖南省研究生科研创新基金资助项目(2015SCX25) |
|
| 摘要点击次数: 588 |
| 全文下载次数: 345 |
| 中文摘要: |
| 为了准确地对矿岩的可爆性进行分级,在收集爆破试验数据的基础上,利用相关性分析对影响矿岩可爆性的因素进行了优化,通过多元回归分析得到了矿岩可爆性指数的线性回归方程.同时,将该方法与其它方法所得的结果进行了对比,结果表明,本文计算所得的矿岩可爆性指数与爆破试验值更加吻合,且对矿岩可爆性分级的准确率达到了76.79%. |
| 英文摘要: |
| In order to classify the blastability of mine rock accurately,on the basis of collecting the data of blasting experiment,the influencing factors of blastability of mine rock were optimized by using the correlation analysis,the linear regression equation of blastability index of mine rock was obtained by multiple linear regression analysis.At the same time,the results from this method were compared with the results from other methods,which shows that the calculated blastability index of mine rock in this paper is more consistent with the blasting experimental value,and the accuracy rate of blastability classification of mine rock reaches up to 76.79%. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|