IEEE Transactions on Applied Superconductivity, volume 23, issue 3, pages 1701004

Pseudo Sigmoid Function Generator for a Superconductive Neural Network

Publication typeJournal Article
Publication date2013-06-01
Q2
Q3
SJR0.500
CiteScore3.5
Impact factor1.7
ISSN10518223, 15582515, 23787074
Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Electrical and Electronic Engineering
Abstract
A superconductive perceptron, an artificial neural network, has been investigated using single flux quantum (SFQ) stochastic logic. A superconductive pseudo sigmoid function generator that corresponds to an artificial neuron device for the perceptron has been proposed and implemented using an SFQ current comparator and a frequency-to-current converter, which generates current that is proportional to the average input SFQ frequency. A frequency-to-current converter has been implemented using a dc-SQUID voltage driver coupled with a Josephson transmission line. We implemented and tested the pseudo sigmoid function generator using the SRL 2.5 kA/cm2 Nb process. The measured input-output characteristic agreed with the ideal sigmoid function with an average error of 0.063%.

Top-30

Journals

1
2
3
4
5
Journal of Applied Physics
5 publications, 16.13%
IEEE Transactions on Applied Superconductivity
5 publications, 16.13%
Applied Physics Letters
3 publications, 9.68%
Beilstein Journal of Nanotechnology
2 publications, 6.45%
Superconductor Science and Technology
2 publications, 6.45%
Symmetry
1 publication, 3.23%
Low Temperature Physics
1 publication, 3.23%
Journal of Structural Engineering
1 publication, 3.23%
Physical Review Research
1 publication, 3.23%
CCF Transactions on High Performance Computing
1 publication, 3.23%
Scientific Reports
1 publication, 3.23%
Structures
1 publication, 3.23%
Science advances
1 publication, 3.23%
Communications in Computer and Information Science
1 publication, 3.23%
Neuromorphic Computing and Engineering
1 publication, 3.23%
Mesoscience and Nanotechnology
1 publication, 3.23%
1
2
3
4
5

Publishers

1
2
3
4
5
6
7
8
9
AIP Publishing
9 publications, 29.03%
Institute of Electrical and Electronics Engineers (IEEE)
7 publications, 22.58%
IOP Publishing
3 publications, 9.68%
Springer Nature
3 publications, 9.68%
Beilstein-Institut
2 publications, 6.45%
MDPI
1 publication, 3.23%
American Society of Civil Engineers (ASCE)
1 publication, 3.23%
American Physical Society (APS)
1 publication, 3.23%
Elsevier
1 publication, 3.23%
American Association for the Advancement of Science (AAAS)
1 publication, 3.23%
Wiley
1 publication, 3.23%
Treatise
1 publication, 3.23%
1
2
3
4
5
6
7
8
9
  • We do not take into account publications without a DOI.
  • Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
Share
Cite this
GOST |
Cite this
GOST Copy
Yamanashi Y., Umeda K., Yoshikawa N. Pseudo Sigmoid Function Generator for a Superconductive Neural Network // IEEE Transactions on Applied Superconductivity. 2013. Vol. 23. No. 3. p. 1701004.
GOST all authors (up to 50) Copy
Yamanashi Y., Umeda K., Yoshikawa N. Pseudo Sigmoid Function Generator for a Superconductive Neural Network // IEEE Transactions on Applied Superconductivity. 2013. Vol. 23. No. 3. p. 1701004.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1109/TASC.2012.2228531
UR - https://doi.org/10.1109/TASC.2012.2228531
TI - Pseudo Sigmoid Function Generator for a Superconductive Neural Network
T2 - IEEE Transactions on Applied Superconductivity
AU - Yamanashi, Y
AU - Umeda, K.
AU - Yoshikawa, N
PY - 2013
DA - 2013/06/01
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 1701004
IS - 3
VL - 23
SN - 1051-8223
SN - 1558-2515
SN - 2378-7074
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2013_Yamanashi,
author = {Y Yamanashi and K. Umeda and N Yoshikawa},
title = {Pseudo Sigmoid Function Generator for a Superconductive Neural Network},
journal = {IEEE Transactions on Applied Superconductivity},
year = {2013},
volume = {23},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
month = {jun},
url = {https://doi.org/10.1109/TASC.2012.2228531},
number = {3},
pages = {1701004},
doi = {10.1109/TASC.2012.2228531}
}
MLA
Cite this
MLA Copy
Yamanashi, Y., et al. “Pseudo Sigmoid Function Generator for a Superconductive Neural Network.” IEEE Transactions on Applied Superconductivity, vol. 23, no. 3, Jun. 2013, p. 1701004. https://doi.org/10.1109/TASC.2012.2228531.
Found error?