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Electric Field Strength Calculation of Regression Model Based on Principal Component Analysis

机译：基于主成分分析的回归模型电场强度计算

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Zhuoshi Li; Zenghui Wang; Tingting Zhang; Xiaoqi Ding;
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年度 2015
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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. Kernel principal component analysis-based Gaussian process regression modelling for high-dimensional reliability analysis [J] . Zhou Tong, Peng Yongbo Computers & Structures . 2020,第Deca期

机译：基于内核主成分分析的高斯过程回归模型，用于高维可靠性分析
4. Electric Field Strength Calculation of Regression Model Based on Principal Component Analysis [C] . Zhuoshi Li, Zenghui Wang, Tingting Zhang, International Conference on Information Technology and Management Innovation . 2015

机译：基于主成分分析的回归模型电场强度计算
5. MULTIPLICATIVE MODELS FOR INTERACTION IN UNBALANCED TWO-WAY ANOVA (REDUCED RANK REGRESSION, PRINCIPAL COMPONENT ANALYSIS, SINGULAR VALUE DECOMPOSITION). [D] . BOIK, ROBERT JOHN. 1984

机译：无平衡双向方差分析中的交互作用的多重模型（减小的回归，主成分分析，奇异值分解）。
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

Electric Field Strength Calculation of Regression Model Based on Principal Component Analysis

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