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基于主成分回归分析法的回采工作面瓦斯涌出量预测 被引量:94
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作者 吕伏 梁冰 +1 位作者 孙维吉 王岩 《煤炭学报》 EI CAS CSCD 北大核心 2012年第1期113-116,共4页
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,... 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。 展开更多
关键词 主成分分析 多步线性回归 回采工作面 瓦斯涌出量
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Study on QSAR of Taxol and its Derivatives Based on Stepwise Multivariate Linear Regression Analysis 被引量:1
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作者 刘艾林 迟翰林 《Journal of Chinese Pharmaceutical Sciences》 CAS 1997年第1期21-25,共5页
Abstract Using the method of stepwise multivariate linear regression (SMLR), the quantitative structure activity relationships (QSAR) of two isomeric series of taxol and its derivatives have been studied. It was foun... Abstract Using the method of stepwise multivariate linear regression (SMLR), the quantitative structure activity relationships (QSAR) of two isomeric series of taxol and its derivatives have been studied. It was found that the molar refractivity of the C3′substituent of the C13 side chain has significant correlation with its activity. We deduce that structural changes in the C3′substituents may be critical to the anticancer function. It would be useful to the design and synthesis of taxol like compounds with improved activities. 展开更多
关键词 TAXOL Stepwise multivariate linear regression (SMLR) Molar refractivity
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A Quantitative Structure Property Relationship for Prediction of Flash Point of Alkanes Using Molecular Connectivity Indices 被引量:3
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作者 Morteza Atabati Reza Emamalizadeh 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2013年第4期420-426,共7页
Many structure-property/activity studies use graph theoretical indices, which are based on the topological properties of a molecule viewed as a graph. Since topological indices can be derived directly from the molecul... Many structure-property/activity studies use graph theoretical indices, which are based on the topological properties of a molecule viewed as a graph. Since topological indices can be derived directly from the molecular structure without any experimental effort, they provide a simple and straightforward method for property prediction. In this work the flash point of alkanes was modeled by a set of molecular connectivity indices (Х), modified molecular connectivity indices ( ^mХ^v ) and valance molecular connectivity indices ( ^mХ^v ), with ^mХ^v calculated using the hydrogen perturbation. A stepwise Multiple Linear Regression (MLR) method was used to select the best indices. The predicted flash points are in good agreement with the experimental data, with the average absolute deviation 4.3 K. 展开更多
关键词 quantitative structure property relationship flash point molecular connectivity indices hydrogen perturbation ALKANE
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