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Increasing of convolutional neural network performance using residue number system

Increasing of convolutional neural network performance using residue number system

This paper considers the method of pattern recognition based on a convolutional neural network using Sobel filters. Parameters of the convolutional neural network blocks were chosen experimentally by software modeling in MATLAB. We presents the architecture of the convolutional neural network constr...

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Главные авторы: Chervyakov, N. I., Червяков, Н. И., Lyakhov, P. A., Ляхов, П. А., Valueva, M. V., Валуева, М. В.
פורמט: Статья
שפה:English
יצא לאור: Institute of Electrical and Electronics Engineers Inc. 2018
נושאים:
Convolutional Neural Network (CNN)
Image processing
Pattern recognition
Residue number system (RNS)
גישה מקוונת:https://www.scopus.com/record/display.uri?eid=2-s2.0-85040520452&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=nort*+caucas*+fed*+univ*&sid=6e44c4739f67eaef119fa92298a82e4b&sot=afnl&sdt=sisr&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&ref=%28Increasing+of+convolutional+neural+network+performance+using+residue+number%29&relpos=0&citeCnt=0&searchTerm=
https://dspace.ncfu.ru:443/handle/20.500.12258/528
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https://www.scopus.com/record/display.uri?eid=2-s2.0-85040520452&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=nort*+caucas*+fed*+univ*&sid=6e44c4739f67eaef119fa92298a82e4b&sot=afnl&sdt=sisr&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&ref=%28Increasing+of+convolutional+neural+network+performance+using+residue+number%29&relpos=0&citeCnt=0&searchTerm=
https://dspace.ncfu.ru:443/handle/20.500.12258/528

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