| 基于主成分回归分析法的回采工作面瓦斯涌出量预测 |
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| 引用本文： | 吕伏,梁冰,孙维吉,王岩. 基于主成分回归分析法的回采工作面瓦斯涌出量预测[J]. 煤炭学报, 2012, 37(1): 113-116 |
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| 作者姓名： | 吕伏 梁冰 孙维吉 王岩 |
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| 作者单位： | 辽宁工程技术大学 基础教学部，辽宁 葫芦岛 125105 |
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| 基金项目： | 国家重点基础研究发展计划(973)资助项目(2011CB201206)；辽宁省自然科学基金资助项目(20102090) |
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| 摘 要： | 以预测回采工作面瓦斯涌出量为目的，通过主成分分析方法得到了影响回采工作面瓦斯涌出量的主成分，并采用主成分分量进行多步线性回归来预测回采工作面瓦斯涌出量。结果表明，采用的主成分回归分析方法减少了回归分析需要考虑的变量个数，结果具有较好的精确度。
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| 关 键 词： | 主成分分析 多步线性回归 回采工作面 瓦斯涌出量 |
| 收稿时间： | 2011-02-21 |
Gas emission quantity prediction of working face based on principal component regression analysis method |
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| Lü Fu,LIANG Bing,SUN Wei-ji,WANG Yan. Gas emission quantity prediction of working face based on principal component regression analysis method[J]. Journal of China Coal Society, 2012, 37(1): 113-116 |
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| Authors: | Lü Fu LIANG Bing SUN Wei-ji WANG Yan |
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| Affiliation: | 1.The Department of Basic Teaching,Liaoning Technical University,Huludao 125105,China;2.Graduate School,Liaoning Technical University,Fuxin 123000,China;3.Shenyang Research Institute,China Coal Research Institute,Shenyang 110016,China) |
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| Abstract: | In order to predict the relative amount of the working face,used the principal components analysis method to analyze the principal component of the amount of gas emitted from working face,and to predict working face gas emission quantity by using many steps on linear regression analysis based on the principal component.The results show that the principal component regression analysis method reduces the consider number of variables of regression analysis,the result has good accuracy. |
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| Keywords: | principal component analysis many steps linear regression working face gas emission quantity |
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