Bayesian neural network analysis of ferrite number in stainless steel welds
Author:
Publisher
Informa UK Limited
Subject
Condensed Matter Physics,General Materials Science
Link
http://www.tandfonline.com/doi/pdf/10.1179/136217104225017026
Reference25 articles.
Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. The possible solidification modes of austenitic stainless steels joints according to different chemical compositions and cooling rates;Welding International;2024-01-29
2. Machine learning (deep learning) and visualization assisted ferrite content prediction in austenitic stainless steel;Materials Today Communications;2022-12
3. Experimental methodology and predictive tools in austenitic stainless steel with different ferrite content welds;Journal of Adhesion Science and Technology;2021-10-28
4. Recommendations for an Open Science approach to welding process research data;Welding in the World;2021-06-26
5. Prediction and fitting of weld morphology of Al alloy-CFRP welding-rivet hybrid bonding joint based on GA-BP neural network;Journal of Manufacturing Processes;2021-03
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