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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...
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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7506773/ https://ncbi.nlm.nih.gov/pubmed/32825114 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20174683 |
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