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Principal Component Analysis Based Dynamic Fuzzy Neural Network for Internal Corrosion Rate Prediction of Gas Pipelines

机译：基于基于动态模糊神经网络的气体管道内部腐蚀速率预测的主成分分析

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Xiaoxu Chen; Linyuan Wang; Zhiyu Huang;
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1. Principal Component Analysis Based Dynamic Fuzzy Neural Network for Internal Corrosion Rate Prediction of Gas Pipelines [J] . Xiaoxu Chen, Linyuan Wang, Zhiyu Huang Mathematical Problems in Engineering: Theory, Methods and Applications . 2020,第1期

机译：基于基于动态模糊神经网络的气体管道内部腐蚀速率预测的主成分分析
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

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3. A prediction model for population occurrence of paddy stem borer (Scirpophaga incertulas), based on Back Propagation Artificial Neural Network and Principal Components Analysis [J] . Yang Lin-nan, Peng Lin, Zhang Li-min, Computers and Electronics in Agriculture . 2009,第2期

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4. The Gas Pipeline Risk Assessment Base on Principal Component Analysis and BP Neural Network [C] . Guo Zhanglin, Zhang Huanjun International conference on electronic engineering, communication and management;EECM 2011 . 2011

机译：基于主成分分析和BP神经网络的燃气管道风险评估
5. Corrosion Protection and Repair of Steel Components Using Inorganic Coating and Carbon Fiber Reinforced Polymer and Fatigue Life Prediction of Pipeline [D] . Salemi, Milad . 2020

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6. Path Loss Prediction Based on Machine Learning Techniques: Principal Component Analysis Artificial Neural Network and Gaussian Process [O] . Han-Shin Jo, Chanshin Park, Eunhyoung Lee, 2020

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Principal Component Analysis Based Dynamic Fuzzy Neural Network for Internal Corrosion Rate Prediction of Gas Pipelines

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