Uncertainty quantification in tree structure and polynomial regression algorithms toward material indices prediction
Machine learning’s integration into reliability analysis holds substantial potential to ensure infrastructure safety. Despite the merits of flexible tree structure and formulable expression, random forest (RF) and evolutionary polynomial regression (EPR) cannot contribute to reliability-based design...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Cambridge University Press
2025-01-01
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| coleção: | Data-Centric Engineering |
| Assuntos: | |
| Acesso em linha: | https://www.cambridge.org/core/product/identifier/S263267362500005X/type/journal_article |
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