Hardware and software implementation of neural network control of power systems based on the system of residual classes
The article describes the application of artificial neural networks and residual classes in the tasks of hardware-software implementation of neural networks. The comparison of existing software realizations of artificial neural networks is made. It is shown that a more effective implementation is ha...
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| Hauptverfasser: | , , , |
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| Format: | Статья |
| Sprache: | English |
| Veröffentlicht: |
Institute of Electrical and Electronics Engineers Inc.
2020
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| Online Zugang: | https://www.scopus.com/record/display.uri?eid=2-s2.0-85078025963&origin=resultslist&sort=plf-f&src=s&st1=Hardware+and+Software+Implementation+of+Neural+Network+Control+of+Power+Systems+based+on&st2=&sid=d3dfc7d74038658a784e318139d7896a&sot=b&sdt=b&sl=103&s=TITLE-ABS-KEY%28Hardware+and+Software+Implementation+of+Neural+Network+Control+of+Power+Systems+based+on%29&relpos=2&citeCnt=0&searchTerm= https://dspace.ncfu.ru/handle/20.500.12258/11261 |
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https://www.scopus.com/record/display.uri?eid=2-s2.0-85078025963&origin=resultslist&sort=plf-f&src=s&st1=Hardware+and+Software+Implementation+of+Neural+Network+Control+of+Power+Systems+based+on&st2=&sid=d3dfc7d74038658a784e318139d7896a&sot=b&sdt=b&sl=103&s=TITLE-ABS-KEY%28Hardware+and+Software+Implementation+of+Neural+Network+Control+of+Power+Systems+based+on%29&relpos=2&citeCnt=0&searchTerm=https://dspace.ncfu.ru/handle/20.500.12258/11261