An improved extreme learning machine model for predicting the mechanical property of AZ80 magnesium alloy-Reference-Cited by-同舟云学术

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An improved extreme learning machine model for predicting the mechanical property of AZ80 magnesium alloy

Published:2024-07-25 Issue:8 Volume:130 Page:
ISSN:0947-8396
Container-title:Applied Physics A
language:en
Short-container-title:Appl. Phys. A

Author:

Gu Jiahan,Jiang Song,Guo Wenbo,Wang Leilei,Zhang Jianping

Funder

Science and Technology Commission of Shanghai Municipality

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Shanghai Professional Technical Service Platform for Intelligent Operation and Maintenance of Renewable Energy

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00339-024-07740-z.pdf

Reference34 articles.

1. O. Kahveci, M.F. Kaya, H. Erol, Investigation of the AlB2 intermetallic phases effect on Al–Zn–B alloys’ electrochemical performance in Al–air battery anodes. Appl. Phys. A-Mater. 129, 324 (2023)

2. Z.H. Cai, Y.Y. Jia, Y.J. Hou, L.F. Ma, A high strength-ductility balanced Mg-1Ca-0.5Mn-0.53Ce mg alloy sheet by multi-pass low-temperature rolling. J. Mater. Eng. Perform. 33, 330–335 (2024)

3. M. Gao, L. Cen, L. Jiang, S. Zhao, M. Gong, Oscillating laser-arc hybrid additive manufacturing of AZ31 magnesium alloy. Appl. Sci. 13, 897 (2023)

4. A.I. Alateyah, A. BaQais, M.M. Ahmed, Y. Zedan, M.O. Alawad, M.S. El-Asfoury, W.H. El-Garaihy, Improved corrosion resistance and mechanical properties of severely deformed ZM31 alloy. Heliyon 10, e26400 (2024)

5. K. Nopova, J. Jaros, O. Cervinek, L. Pantelejev, S. Gneiger, S. Senck, D. Koutny, Processing of AZ91D magnesium alloy by laser powder bed fusion. Appl. Sci. 13, 1377 (2023)

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