A new model to optimize the architecture of a fault-tolerant modular neurocomputer
In this paper, we present some results on error detection and correction in a modular neurocomputer that are based on redundant residue number systems. The error correction method developed below involves the modified Chinese Remainder Theorem with fractions and uses a Hopfield neural network to cor...
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Главные авторы: | , , , , , , , , , , , , , |
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格式: | Статья |
语言: | English |
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Elsevier B.V.
2018
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在线阅读: | https://www.scopus.com/record/display.uri?eid=2-s2.0-85046691005&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=nort*+caucas*+fed*+univ*&sid=66c0b1a32aef918b6dc8f22f4ab4e9b7&sot=afnl&sdt=afsp&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&relpos=0&citeCnt=0&searchTerm= https://dspace.ncfu.ru:443/handle/20.500.12258/220 |
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https://www.scopus.com/record/display.uri?eid=2-s2.0-85046691005&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=nort*+caucas*+fed*+univ*&sid=66c0b1a32aef918b6dc8f22f4ab4e9b7&sot=afnl&sdt=afsp&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&relpos=0&citeCnt=0&searchTerm=https://dspace.ncfu.ru:443/handle/20.500.12258/220