Metal–Metal Bonding Process Research Based on Xgboost Machine Learning Algorithm

Conventionally, the optimization of bonding process parameters requires multi-parameter repetitive experiments, the processing of data, and the characterization of complex relationships between process parameters, and performance must be achieved with the help of new technologies. This work focused...

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Detalles Bibliográficos
Autores principales: Feng, Jingpeng, Zhan, Lihua, Ma, Bolin, Zhou, Hao, Xiong, Bang, Guo, Jinzhan, Xia, Yunni, Hui, Shengmeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610595/
https://www.ncbi.nlm.nih.gov/pubmed/37896329
http://dx.doi.org/10.3390/polym15204085

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610595/
https://www.ncbi.nlm.nih.gov/pubmed/37896329
http://dx.doi.org/10.3390/polym15204085

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