Research on Corrosion Rate Prediction of Buried Pipeline Based on KPCA-Improved PSO-BP Neural Network Model
In: 4th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM); (2023-05-26) S. 557-562
Online
Konferenz
Zugriff:
Titel: |
Research on Corrosion Rate Prediction of Buried Pipeline Based on KPCA-Improved PSO-BP Neural Network Model
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Autor/in / Beteiligte Person: | Yu, Yang ; Sun, Dongliang |
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Quelle: | 4th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM); (2023-05-26) S. 557-562 |
Veröffentlichung: | 2023 |
Medientyp: | Konferenz |
ISBN: | 979-8-3503-1443-4 (print) |
DOI: | 10.1109/ICMTIM58873.2023.10246699 |
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