Paper Abstract and Keywords |
Presentation |
2020-03-05 14:55
[Memorial Lecture]
A Tuning-Free Hardware Reservoir Based on MOSFET Crossbar Array for Practical Echo State Network Implementation Yuki Kume, Song Bian, Takashi Sato (Kyoto Univ.) VLD2019-118 HWS2019-91 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Echo state network (ESN) is a class of recurrent neural network, and is known for drastically reducing the training time by the use of reservoir, a random and fixed network as the input and middle layers. In this paper, we propose a hardware implementation of ESN that uses practical MOSFET-based reservoir. As opposed to existing reservoirs that require additional tuning of network weights for improved stability, our
ESN requires no post-training parameter tuning. To this end, we apply the circular law of random matrix to sparse reservoirs to determine a stable and fixed feedback gain. Through the evaluations using Mackey-Glass time-series dataset, the proposed ESN performs successful inference without post parameter tuning. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
echo state network / reservoir computing / recurrent neural network / MOSFET / crossbar array / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 443, VLD2019-118, pp. 139-144, March 2020. |
Paper # |
VLD2019-118 |
Date of Issue |
2020-02-26 (VLD, HWS) |
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 |
VLD2019-118 HWS2019-91 |
Conference Information |
Committee |
HWS VLD |
Conference Date |
2020-03-04 - 2020-03-07 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Okinawa Ken Seinen Kaikan |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Design Technology for System-on-Silicon, Hardware Security, etc. |
Paper Information |
Registration To |
VLD |
Conference Code |
2020-03-HWS-VLD |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Tuning-Free Hardware Reservoir Based on MOSFET Crossbar Array for Practical Echo State Network Implementation |
Sub Title (in English) |
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Keyword(1) |
echo state network |
Keyword(2) |
reservoir computing |
Keyword(3) |
recurrent neural network |
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MOSFET |
Keyword(5) |
crossbar array |
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1st Author's Name |
Yuki Kume |
1st Author's Affiliation |
Kyoto University (Kyoto Univ.) |
2nd Author's Name |
Song Bian |
2nd Author's Affiliation |
Kyoto University (Kyoto Univ.) |
3rd Author's Name |
Takashi Sato |
3rd Author's Affiliation |
Kyoto University (Kyoto Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-03-05 14:55:00 |
Presentation Time |
25 minutes |
Registration for |
VLD |
Paper # |
VLD2019-118, HWS2019-91 |
Volume (vol) |
vol.119 |
Number (no) |
no.443(VLD), no.444(HWS) |
Page |
pp.139-144 |
#Pages |
6 |
Date of Issue |
2020-02-26 (VLD, HWS) |
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