том 34 издание 1 страницы 15006

Learning cell for superconducting neural networks

Тип публикацииJournal Article
Дата публикации2020-11-27
scimago Q1
wos Q2
БС1
SJR1.095
CiteScore6.7
Impact factor4.2
ISSN09532048, 13616668
Materials Chemistry
Metals and Alloys
Ceramics and Composites
Condensed Matter Physics
Electrical and Electronic Engineering
Краткое описание

An energy-efficient adiabatic learning neuro cell is proposed. The cell can be used for on-chip learning of adiabatic superconducting artificial neural networks. The static and dynamic characteristics of the proposed learning cell have been investigated. Optimization of the learning cell parameters was performed within simulations of the multi-layer neural network supervised learning with the resilient propagation method.

Найдено 
Найдено 

Топ-30

Журналы

1
2
3
4
Beilstein Journal of Nanotechnology
4 публикации, 16.67%
Nanomaterials
4 публикации, 16.67%
Symmetry
2 публикации, 8.33%
Journal of Communications Technology and Electronics
2 публикации, 8.33%
Superconductor Science and Technology
2 публикации, 8.33%
JETP Letters
2 публикации, 8.33%
Nanobiotechnology Reports
1 публикация, 4.17%
Journal of Experimental and Theoretical Physics
1 публикация, 4.17%
IEEE Transactions on Applied Superconductivity
1 публикация, 4.17%
APL Machine Learning
1 публикация, 4.17%
Письма в Журнал экспериментальной и теоретической физики
1 публикация, 4.17%
Журнал Экспериментальной и Теоретической Физики
1 публикация, 4.17%
Chaos, Solitons and Fractals
1 публикация, 4.17%
1
2
3
4

Издатели

1
2
3
4
5
6
7
Pleiades Publishing
7 публикаций, 29.17%
MDPI
6 публикаций, 25%
Beilstein-Institut
4 публикации, 16.67%
IOP Publishing
2 публикации, 8.33%
Institute of Electrical and Electronics Engineers (IEEE)
2 публикации, 8.33%
AIP Publishing
1 публикация, 4.17%
Akademizdatcenter Nauka
1 публикация, 4.17%
Elsevier
1 публикация, 4.17%
1
2
3
4
5
6
7
  • Мы не учитываем публикации, у которых нет DOI.
  • Статистика публикаций обновляется еженедельно.

Вы ученый?

Создайте профиль, чтобы получать персональные рекомендации коллег, конференций и новых статей.
Метрики
24
Поделиться
Цитировать
ГОСТ |
Цитировать
Schegolev A. et al. Learning cell for superconducting neural networks // Superconductor Science and Technology. 2020. Vol. 34. No. 1. p. 15006.
ГОСТ со всеми авторами (до 50) Скопировать
Schegolev A., Klenov N. V., Soloviev I. I., Tereshonok M. Learning cell for superconducting neural networks // Superconductor Science and Technology. 2020. Vol. 34. No. 1. p. 15006.
RIS |
Цитировать
TY - JOUR
DO - 10.1088/1361-6668/abc569
UR - https://doi.org/10.1088/1361-6668/abc569
TI - Learning cell for superconducting neural networks
T2 - Superconductor Science and Technology
AU - Schegolev, Andrey
AU - Klenov, Nikolay V.
AU - Soloviev, Igor I.
AU - Tereshonok, Maxim
PY - 2020
DA - 2020/11/27
PB - IOP Publishing
SP - 15006
IS - 1
VL - 34
SN - 0953-2048
SN - 1361-6668
ER -
BibTex |
Цитировать
BibTex (до 50 авторов) Скопировать
@article{2020_Schegolev,
author = {Andrey Schegolev and Nikolay V. Klenov and Igor I. Soloviev and Maxim Tereshonok},
title = {Learning cell for superconducting neural networks},
journal = {Superconductor Science and Technology},
year = {2020},
volume = {34},
publisher = {IOP Publishing},
month = {nov},
url = {https://doi.org/10.1088/1361-6668/abc569},
number = {1},
pages = {15006},
doi = {10.1088/1361-6668/abc569}
}
MLA
Цитировать
Schegolev, Andrey, et al. “Learning cell for superconducting neural networks.” Superconductor Science and Technology, vol. 34, no. 1, Nov. 2020, p. 15006. https://doi.org/10.1088/1361-6668/abc569.