Towards intelligent control system for computer numerical control machines
Advances in deep learning have led to impressive results in recent years. The new technologies such as convolutional neural networks, reinforcement learning and generative adversarial networks have shown a real promise for industrial and real-life applications. In this paper, the results of the expe...
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| Главные авторы: | , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
Institute of Physics Publishing
2019
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| Online-ссылка: | https://www.scopus.com/record/display.uri?eid=2-s2.0-85068641414&origin=resultslist&sort=plf-f&src=s&st1=Towards+intelligent+control+system+for+computer+numerical+control+machines&st2=&sid=d1b3a8e1a522cb2683562dcb2176121f&sot=b&sdt=b&sl=89&s=TITLE-ABS-KEY%28Towards+intelligent+control+system+for+computer+numerical+control+machines%29&relpos=0&citeCnt=0&searchTerm= https://dspace.ncfu.ru/handle/20.500.12258/6800 |
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https://www.scopus.com/record/display.uri?eid=2-s2.0-85068641414&origin=resultslist&sort=plf-f&src=s&st1=Towards+intelligent+control+system+for+computer+numerical+control+machines&st2=&sid=d1b3a8e1a522cb2683562dcb2176121f&sot=b&sdt=b&sl=89&s=TITLE-ABS-KEY%28Towards+intelligent+control+system+for+computer+numerical+control+machines%29&relpos=0&citeCnt=0&searchTerm=https://dspace.ncfu.ru/handle/20.500.12258/6800