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Analysis of key factors and prediction of gas production pressure of coalbed methane well: Combining grey relational with principal component regression analysis

机译：煤层气生产压力的关键因素及预测分析：灰色关联与主要成分回归分析

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Caifang Wu; Xiaolei Liu; Qizhong Zhou; Xiaoyang Zhang;
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1. Analysis of key factors and prediction of gas production pressure of coalbed methane well: Combining grey relational with principal component regression analysis [J] . Wu Caifang, Liu Xiaolei, Zhou Qizhong, Energy Exploration & Exploitation . 2019,第4期

机译：煤层气井产气压力关键因素分析与预测：灰色关联与主成分回归分析相结合
2. Improving the Accuracy of Density Functional Theory (DFT) Calculation for Homolysis Bond Dissociation Energies of Y-NO Bond: Generalized Regression Neural Network Based on Grey Relational Analysis and Principal Component Analysis [J] . Hong Zhi Li, Hui Li, Ting Gao, International Journal of Molecular Sciences . 2011,第4期

机译：提高Y-NO键同质键解离能的密度泛函理论（DFT）计算的准确性：基于灰色关联分析和主成分分析的广义回归神经网络
3. A wear particle identification method by combining principal component analysis and grey relational analysis [J] . Jingqiu Wang, Xiaolei Wang Wear: an International Journal on the Science and Technology of Friction, Lubrication and Wear . 2013,第1a2期

机译：主成分分析与灰色关联分析相结合的磨粒识别方法
4. Price forecast for power device using principal component regression combined with grey relational analysis [C] . Zhiheng Su, Mengyuan Zou, Jin Zhang, 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery . 2016

机译：主成分回归与灰色关联分析相结合的电力设备价格预测
5. Sample size needed for maximum likelihood factor analysis, principal component analysis, and principal factor analysis. [D] . McFann, Kimberly K. 2002

机译：最大似然因子分析，主成分分析和主因子分析所需的样本大小。
6. Improving the Accuracy of Density Functional Theory (DFT) Calculation for Homolysis Bond Dissociation Energies of Y-NO Bond: Generalized Regression Neural Network Based on Grey Relational Analysis and Principal Component Analysis [O] . Hong Zhi Li, Wei Tao, Ting Gao, 2011

机译：提高Y-NO键同质键解离能的密度泛函理论（DFT）计算的准确性：基于灰色关联分析和主成分分析的广义回归神经网络
7. Improving the Accuracy of Density Functional Theory (DFT) Calculation for Homolysis Bond Dissociation Energies of Y-NO Bond: Generalized Regression Neural Network Based on Grey Relational Analysis and Principal Component Analysis [O] . Li, Hong Zhi, Tao, Wei, Gao, Ting, 2011

机译：提高Y-NO键同质键解离能的密度泛函理论（DFT）计算的准确性：基于灰色关联分析和主成分分析的广义回归神经网络
8. Investigation of Potential Groundwater Acidification in Sweden - Using Principal Component Analysis and Regression Analysis [R] . Andersson, I. , Stokes, J. 1988

机译：瑞典潜在地下水酸化研究 - 主成分分析与回归分析

Analysis of key factors and prediction of gas production pressure of coalbed methane well: Combining grey relational with principal component regression analysis

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