Prediction of the Fatigue Strength of Steel Based on Interpretable Machine Learning.

Liu, Chengcheng; Wang, Xuandong; Cai, Weidong; Yang, Jiahui; Su, Hang

Liu, Chengcheng; Wang, Xuandong; Cai, Weidong; Yang, Jiahui; Su, Hang.

Afiliación

Liu C; Institute of Structural Steel, Central Iron and Steel Research Institute, Beijing 100081, China.
Wang X; Material Digital R&D Center, China Iron and Steel Research Institute Group, Beijing 100081, China.
Cai W; Material Digital R&D Center, China Iron and Steel Research Institute Group, Beijing 100081, China.
Yang J; Material Digital R&D Center, China Iron and Steel Research Institute Group, Beijing 100081, China.
Su H; Material Digital R&D Center, China Iron and Steel Research Institute Group, Beijing 100081, China.

Materials (Basel) ; 16(23)2023 Nov 26.

Article en En | MEDLINE | ID: mdl-38068098

Palabras clave

fatigue strength; interpretability; machine learning; symbolic regression

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Materials (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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