Extraction of important variables and mining of dependencies of atmospheric corrosion of carbon steel based on a comprehensive intelligent model
Machine learning algorithms are widely used to predict the corrosion rate of materials in a specific environment. However, the interpretability of such black-box models is poor, which hinders their application in the field of material corrosion. Therefore, to increase algorithm transparency in pract...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Chinês |
| Veröffentlicht: |
Science Press
2023-03-01
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| Schriftenreihe: | 工程科学学报 |
| Schlagworte: | |
| Online-Zugang: | http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2022.01.10.007 |
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