Adaptive finite ring neural network
A new neural network structure of the modular reduction are presented. The new structure is oriented to learning by examples: the number of layers is fixed for any module, the slow approach to the resulting value is excluded, the result is the remainder modulo and does not require an adjustment. Dev...
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| 主要な著者: | , |
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| フォーマット: | Статья |
| 言語: | English |
| 出版事項: |
Institute of Electrical and Electronics Engineers Inc.
2019
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| 主題: | |
| オンライン･アクセス: | https://www.scopus.com/record/display.uri?eid=2-s2.0-85070215972&origin=resultslist&sort=plf-f&src=s&st1=Adaptive+finite+ring+neural+network&st2=&sid=00517e04cd9db0cd4826521d40659860&sot=b&sdt=b&sl=50&s=TITLE-ABS-KEY%28Adaptive+finite+ring+neural+network%29&relpos=0&citeCnt=0&searchTerm= https://dspace.ncfu.ru/handle/20.500.12258/7117 |
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https://www.scopus.com/record/display.uri?eid=2-s2.0-85070215972&origin=resultslist&sort=plf-f&src=s&st1=Adaptive+finite+ring+neural+network&st2=&sid=00517e04cd9db0cd4826521d40659860&sot=b&sdt=b&sl=50&s=TITLE-ABS-KEY%28Adaptive+finite+ring+neural+network%29&relpos=0&citeCnt=0&searchTerm=https://dspace.ncfu.ru/handle/20.500.12258/7117