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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |