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A Comparative Investigation of Machine Learning Algorithms for Pore-Influenced Fatigue Life Prediction of Additively Manufactured Inconel 718 Based on a Small Dataset.
Hu, Bing-Li; Luo, Yan-Wen; Zhang, Bin; Zhang, Guang-Ping.
Affiliation
  • Hu BL; Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, 72 Wenhua Road, Shenyang 110016, China.
  • Luo YW; School of Materials Science and Engineering, University of Science and Technology of China, Shenyang 110016, China.
  • Zhang B; Key Laboratory for Anisotropy and Texture of Materials, Ministry of Education, School of Materials Science and Engineering, Northeastern University, 3-11 Wenhua Road, Shenyang 110819, China.
  • Zhang GP; Key Laboratory for Anisotropy and Texture of Materials, Ministry of Education, School of Materials Science and Engineering, Northeastern University, 3-11 Wenhua Road, Shenyang 110819, China.
Materials (Basel) ; 16(19)2023 Oct 09.
Article in En | MEDLINE | ID: mdl-37834743
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Materials (Basel) Year: 2023 Type: Article Affiliation country: China
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Materials (Basel) Year: 2023 Type: Article Affiliation country: China