The Use of Neural Networks and Genetic Algorithms to Control Low Rigidity Shafts Machining

The article presents an original machine-learning-based automated approach for controlling the process of machining of low-rigidity shafts using artificial intelligence methods. Three models of hybrid controllers based on different types of neural networks and genetic algorithms were developed. In t...

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Detalles Bibliográficos
Autores principales: Świć, Antoni, Wołos, Dariusz, Gola, Arkadiusz, Kłosowski, Grzegorz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506773/
https://www.ncbi.nlm.nih.gov/pubmed/32825114
http://dx.doi.org/10.3390/s20174683

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506773/
https://www.ncbi.nlm.nih.gov/pubmed/32825114
http://dx.doi.org/10.3390/s20174683

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