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1 Ergebnisse
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Research on Corrosion Rate Prediction of Buried Pipeline Ba..:
, In:
2023 4th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM)
,
Yu, Yang
;
Sun, Dongliang
- p. 557-562 , 2023
Link:
https://doi.org/10.1109/ICMTIM58873.2023.10246699
RT T1 <cTitle>2023 4th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM)</cTitle>: T1 <Title>Research on Corrosion Rate Prediction of Buried Pipeline Based on KPCA-Improved PSO-BP Neural Network Model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10246699&Exemplar=1&LAN=DE A1 Yu, Yang A1 Sun, Dongliang YR 2023 K1 Training K1 Corrosion K1 Oils K1 Pipelines K1 Soil properties K1 Predictive models K1 Prediction algorithms K1 Buried pipeline K1 Corrosion rate K1 KPCA K1 Improved PSO-BPNN model SP 557 OP 562 LK http://dx.doi.org/https://doi.org/10.1109/ICMTIM58873.2023.10246699 DO https://doi.org/10.1109/ICMTIM58873.2023.10246699 SF ELIB - SuUB Bremen
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