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...
Сохранить в:
| Главные авторы: | Tikhonov, E. E., Тихонов, Э. Е., Chebanov, K. A., Чебанов, К. А. |
|---|---|
| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
Institute of Electrical and Electronics Engineers Inc.
2020
|
| Темы: | |
| Online-ссылка: | 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 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|
Схожие документы
-
Development of prognostic neural network models based on non-positional coding for automatic control systems
Автор: Tikhonov, E. E., и др.
Опубликовано: (2019) -
Implementation of CMAC neural network control systems in residue number system
Автор: Koldaev, A. I., и др.
Опубликовано: (2020) -
Investigation of Neural Network Methods for Error Detection and Correction in the Residue Number System
Автор: Lutsenko, V. V., и др.
Опубликовано: (2024) -
Neural network technologies in economics study aid
Автор: Kovalenko, A. V. -
Fault Tolerant System for Data Storage, Transmission and Processing in Fog Computing Using Artificial Neural Networks
Автор: Lutsenko, V. V., и др.
Опубликовано: (2024)