Evaluating creep rupture life in austenitic and martensitic steels with soft-constrained machine learning
Machine learning is extensively utilized for predicting creep rupture of high-temperature steels. Recently, five soft-constrained machine learning algorithms (SCMLAs) have been developed to enhance the extrapolation capabilities of machine learning. These SCMLAs were applied to the austenitic steel...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2023-11-01
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| Col·lecció: | Journal of Materials Research and Technology |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2238785423026728 |
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