Theoretical basis of SQUID-based artificial neurons
Journal of Applied Physics Volume 124 Issue 15
Page 152106-
published_at 2018-09-25
アクセス数 : 2003 件
ダウンロード数 : 107 件
今月のアクセス数 : 8 件
今月のダウンロード数 : 5 件
この文献の参照には次のURLをご利用ください : https://ir.lib.hiroshima-u.ac.jp/00049006
| File | |
| Title ( eng ) |
Theoretical basis of SQUID-based artificial neurons
|
| Creator |
Katayama Haruna
Fujii Toshiyuki
|
| Source Title |
Journal of Applied Physics
|
| Volume | 124 |
| Issue | 15 |
| Start Page | 152106 |
| Abstract |
The physical basis of an artificial neuron is studied using a model that is based on the stochastic transition between two states in a double well potential. It is shown that the stochastic transition model generates an energy-defined sigmoid function acting as an activation (or transfer) function in neurons. The model is also applied to circuit neurons using superconducting quantum interference devices in artificial neural networks.
|
| Descriptions |
PACS numbers: 87.19.ll, 85.25.Dq, 07.05.Mh.
This work is supported in part by MEXT (17K05579).
|
| Language |
eng
|
| Resource Type | journal article |
| Publisher |
AIP Publishing
|
| Date of Issued | 2018-09-25 |
| Rights |
This document is the Accepted Manuscript version of a Published Work that appeared in final form in Journal of Applied Physics, copyright © AIP Publishing after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1063/1.5037718.
This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認、ご利用ください。
|
| Publish Type | Author’s Original |
| Access Rights | open access |
| Source Identifier |
[DOI] https://doi.org/10.1063/1.5037718
[DOI] 10.1063/1.5037718
[ISSN] 0021-8979
[NCID] AA00693547
|
