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Study on the calculation of surface subsidence coefficient based on principal component analysis and neural networks

机译：基于主成分分析和神经网络的表面沉降系数计算研究

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Ming-Hua Wu; Xiao-Gang Xia;
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1. 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
2. Artificial neural networks based on principal component analysis, fuzzy systems and fuzzy neural networks for preliminary design of rubble mound breakwaters [J] . Can Elmar Balas, M. Levent Koc, Rifat Tur Applied Ocean Research . 2010,第4期

机译：基于主成分分析，模糊系统和模糊神经网络的人工神经网络在碎石堤防波堤的初步设计中的应用
3. A QSAR study of some cyclobutenediones as CCR1 antagonists by artificial neural networks based on principal component analysis [J] . M Shahlaei, A Fassihi, * L Saghaie, Daru Journal of pharmaceutical sciences. . 2011,第5期

机译：基于主成分分析的人工神经网络对某些环丁烯二酮作为CCR1拮抗剂的QSAR研究
4. Study on the calculation of surface subsidence coefficient based on principal component analysis and neural networks [C] . Ming-Hua Wu, Xiao-Gang Xia Annual International Forum on Energy, Environmental and Sustainable Ecosystem Development . 2017

机译：基于主成分分析和神经网络的表面沉降系数计算研究
5. Application of principal component analysis and artificial neural networks in the determination of filler dispersion during polymer extrusion processes. [D] . Yan, Jian. 2003

机译：主成分分析和人工神经网络在聚合物挤出过程中确定填料分散性中的应用。
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

Study on the calculation of surface subsidence coefficient based on principal component analysis and neural networks

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