Zobrazeno 1 - 8
of 8
pro vyhledávání: '"S A Shchanikov"'
Publikováno v:
Известия высших учебных заведений России: Радиоэлектроника, Vol 25, Iss 6, Pp 61-69 (2022)
Introduction. An array of memristive elements can be used in prospective neural computing systems as a programmable resistance (analog multiplication factor) when performing operations of analog vector multiplication, discrete in time. To form the re
Externí odkaz:
https://doaj.org/article/c1c4eb04fb2146f9b8b7f0132cdae934
Publikováno v:
Telecommunications. :20-26
The article is devoted to the reliability of hardware implementation of artificial neural networks based on memristive devices (ANNM). On the basis of the system engineering methodology, the authors have developed a universal general approach to dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c66461e050cc7fd722aa549c3e45074f
https://doi.org/10.31044/1684-2588-2021-0-4-20-26
https://doi.org/10.31044/1684-2588-2021-0-4-20-26
Autor:
I A Bordanov, A D Zuev, S N Danilin, V P Khranilov, E A Bukvarev, S Kim, E G Gryaznov, A N Mikhaylov, S A Shchanikov
Publikováno v:
Journal of Physics: Conference Series. 2316:012001
Here we present an analysis of the current state in the field of development of hardware accelerators of artificial intelligence (AI). Despite the fairly good progress made over the past decades, this area is experiencing a number of significant diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37d289377244432ec29579954794b4fe
https://doi.org/10.1088/1742-6596/2316/1/012001
https://doi.org/10.1088/1742-6596/2316/1/012001
Publikováno v:
Vestnik of Ryazan State Radio Engineering University. 61:25-31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef430cc59ac67df0d1172fa9233b40b9
https://doi.org/10.21667/1995-4565-2017-61-3-25-31
https://doi.org/10.21667/1995-4565-2017-61-3-25-31
Publikováno v:
Journal of Physics: Conference Series. 1333:062027
The authors have reviewed interpretations of the terms “dependability” and “fault-tolerance” in Russian and interstate standards. A new quantitative criterion of fault-tolerance of the memristors-based artificial neural networks is proposed a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3964935256e3e5ca91f6e722ef35287
https://doi.org/10.1088/1742-6596/1333/6/062027
https://doi.org/10.1088/1742-6596/1333/6/062027
Publikováno v:
Journal of Physics: Conference Series. 1333:032077
This article describes the influence of algorithms for tuning the parameters of neuromorphic systems on their fault tolerance. This is relevant to the hardware implementation of neuromorphic systems using memristors (NSM). The study is conducted usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e97febbb58c54915d5b742427f9d6b4e
https://doi.org/10.1088/1742-6596/1333/3/032077
https://doi.org/10.1088/1742-6596/1333/3/032077
Publikováno v:
Journal of Physics: Conference Series. 1015:032168
This paper is concerned with the issue of secure radio communication of data between manned aircrafts, unmanned drones and control services. It is indicated that the use of artificial neural networks (ANN) enables correct identification of messages t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9f26bffc5d6e165d36975de7284d4dc
https://doi.org/10.1088/1742-6596/1015/3/032168
https://doi.org/10.1088/1742-6596/1015/3/032168
Publikováno v:
Journal of Physics: Conference Series; 2019, Vol. 1333 Issue 6, p1-1, 1p