| 基于多元非线性回归理论的煤层瓦斯含量预测 |
| |
| 引用本文： | 郝天轩,柳猛.基于多元非线性回归理论的煤层瓦斯含量预测[J].煤炭技术,2014(9):1-3. |
| |
| 作者姓名： | 郝天轩 柳猛 |
| |
| 作者单位： | 河南省瓦斯地质与瓦斯治理重点实验室-省部共建国家重点实验室培育基地;河南理工大学安全科学与工程学院;煤炭安全生产河南省协同创新中心 |
| |
| 基金项目： | 长江学者和创新团队发展计划资助项目(IRT1235);河南省2010年重点科技攻关项目(102102310217);河南省高等学校青年骨干教师资助计划(649083);河南理工大学博士基金(B2008-16) |
| |
| 摘 要： | 以黄陵矿煤层瓦斯含量与相关因素的数据为例,采用基于多元非线性回归理论的数学方法,建立了一种适合矿井实际的预测模型:多元非线性瓦斯含量预测模型,通过该模型进行了煤层瓦斯含量预测,预测精度较高,适用性较强。
|
| 关 键 词： | 煤层瓦斯含量 预测 多元非线性 |
Prediction of Coal Seam Gas Content Based on Multivariate Nonlinear Regression |
| |
| HAO Tian-xuan;LIU Meng.Prediction of Coal Seam Gas Content Based on Multivariate Nonlinear Regression[J].Coal Technology,2014(9):1-3. |
| |
| Authors: | HAO Tian-xuan;LIU Meng |
| |
| Affiliation: | HAO Tian-xuan;LIU Meng;State Key Lab Cultivation Base for Gas Geology and Gas Control;School of Safety Science and Engineering,Henan Polytechnic University;Coal Production Satety Collaborative Innovation Center in Henan Province; |
| |
| Abstract: | With the data of Huangling mine coal seam gas content and the related factors as an example,the mathematical methods based on the theory of multivariate nonlinear regression is used to establish a suitable prediction model for the practical mine: multivariate nonlinear gas content prediction model,by the model,we conducted the coal seam gas content prediction,prediction accuracy is high and applicability is strong. |
| |
| Keywords: | coal seam gas content prediction multivariate nonlinear |
| 本文献已被 CNKI 等数据库收录！ |
