A machine learning approach for corrosion small datasets
Abstract In this work, we developed a QSAR model using the K-Nearest Neighbor (KNN) algorithm to predict the corrosion inhibition performance of the inhibitor compound. To overcome the small dataset problems, virtual samples are generated and added to the training set using a Virtual Sample Generati...
Gorde:
| Egile Nagusiak: | , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Nature Portfolio
2023-03-01
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| Saila: | npj Materials Degradation |
| Sarrera elektronikoa: | https://doi.org/10.1038/s41529-023-00336-7 |
| Etiketak: |
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