Prediction and Optimization of Surface Roughness in a Turning Process Using the ANFIS-QPSO Method

This study presents a prediction method of surface roughness values for dry and cryogenic turning of AISI 304 stainless steel using the ANFIS-QPSO machine learning approach. ANFIS-QPSO combines the strengths of artificial neural networks, fuzzy systems and evolutionary optimization in terms of accur...

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Detalles Bibliográficos
Autores principales: Alajmi, Mahdi S., Almeshal, Abdullah M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372405/
https://www.ncbi.nlm.nih.gov/pubmed/32635519
http://dx.doi.org/10.3390/ma13132986

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372405/
https://www.ncbi.nlm.nih.gov/pubmed/32635519
http://dx.doi.org/10.3390/ma13132986

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