Paper Abstract and Keywords |
Presentation |
2020-01-17 13:15
[Poster Presentation]
Investigation of neuron with sigmoid activation function for quantum-flux-parametron-based neural network Daiki Yamaguchi, Yuki Yamanashi, Nobuyuki Yoshikawa (Yokohama Natl. Univ.) SCE2019-60 Link to ES Tech. Rep. Archives: SCE2019-60 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
An ANN is a circuit that imitates the brain of a human, which is effective for pattern recognition and filtering, and so on. A superconducting circuit can operate at the high fre-quency with low power consumption, it is attractive for realization of energy-efficient ANNs. In order to perform ANN learning, it is necessary for the activation function of neurons in the middle layer to have characteristics like sigmoid/hyperbolic tangent function. The rf-superconducting quantum interference device (rf-SQUID) is composed of a supercon-ducting loop including a Josephson junction and an inductance, and when a magnetic flux is applied to the circuit, a circular current is generated as if sine is inclined. Applying the cir-cuit of rf-SQUID, it is known that the input/output relationship of magnetic flux has charac-teristics close to the sigmoid/hyperbolic tangent function. In this study, we designed a neuron with a hyperbolic tangent activation function using the AIST fabrication process. Fur-thermore, we investigated tuning method of the quantum-flux-parametron-based supercon-ducting neural network toward its learning. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
rf-SQUID / ANN / sigmoid / hyperbolic tangent / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 369, SCE2019-60, pp. 125-127, Jan. 2020. |
Paper # |
SCE2019-60 |
Date of Issue |
2020-01-09 (SCE) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
Download PDF |
SCE2019-60 Link to ES Tech. Rep. Archives: SCE2019-60 |
Conference Information |
Committee |
SCE |
Conference Date |
2020-01-16 - 2020-01-17 |
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(See Japanese page) |
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Paper Information |
Registration To |
SCE |
Conference Code |
2020-01-SCE |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Investigation of neuron with sigmoid activation function for quantum-flux-parametron-based neural network |
Sub Title (in English) |
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rf-SQUID |
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ANN |
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sigmoid |
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hyperbolic tangent |
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1st Author's Name |
Daiki Yamaguchi |
1st Author's Affiliation |
Yokohama National University (Yokohama Natl. Univ.) |
2nd Author's Name |
Yuki Yamanashi |
2nd Author's Affiliation |
Yokohama National University (Yokohama Natl. Univ.) |
3rd Author's Name |
Nobuyuki Yoshikawa |
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Yokohama National University (Yokohama Natl. Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-01-17 13:15:00 |
Presentation Time |
135 minutes |
Registration for |
SCE |
Paper # |
SCE2019-60 |
Volume (vol) |
vol.119 |
Number (no) |
no.369 |
Page |
pp.125-127 |
#Pages |
3 |
Date of Issue |
2020-01-09 (SCE) |
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