Surface Feature Prediction for Laser Ablated 40Cr13 Stainless Steel Based on Extreme Learning Machine

Determining an optimal combination of laser process parameters can significantly improve the efficiency and quality of 40Cr13 steel surface processing. In this study, two machine learning models (ELMSS and ELMPS) were proposed to predict the processing results of surface features to optimize process...

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Detalles Bibliográficos
Autores principales: Yin, Zhenshuo, Liu, Qiang, Sun, Pengpeng, Zhou, Yinuo, Ning, Zhiwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862075/
https://www.ncbi.nlm.nih.gov/pubmed/36676242
http://dx.doi.org/10.3390/ma16020505

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862075/
https://www.ncbi.nlm.nih.gov/pubmed/36676242
http://dx.doi.org/10.3390/ma16020505

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