| Paper Abstract and Keywords |
| Presentation |
2024-06-07 15:55
Influence of Parameters in Hysteresis Reservoir Computing Kenta Yokoyama, Kenya Jin'no (Tokyo City Univ.) NLP2024-40 CCS2024-27 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Reservoir computing(RC) can achieve larger storage capacity and higher expressiveness by appropriately designing the internal structure of the reservoir.
On the other hand, hysteresis reservoir computing, which uses hysteresis neurons in the
reservoir layer within RC, uses more parameters than conventional RC, so parameter control is required.
In this paper, we investigate the extent to which each parameter affects the performance of the model. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
reservoir computing / hysteresis neuron / optimization / time control / learning / time constant / / |
| Reference Info. |
IEICE Tech. Rep., vol. 124, no. 62, NLP2024-40, pp. 117-120, June 2024. |
| Paper # |
NLP2024-40 |
| Date of Issue |
2024-05-30 (NLP, CCS) |
| ISSN |
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 |
NLP2024-40 CCS2024-27 |
| Conference Information |
| Committee |
NLP CCS |
| Conference Date |
2024-06-06 - 2024-06-07 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
West Japan General Exhibition Center AIM |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Nonlinear Problems, Complex Communication Sciences, etc. |
| Paper Information |
| Registration To |
NLP |
| Conference Code |
2024-06-NLP-CCS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Influence of Parameters in Hysteresis Reservoir Computing |
| Sub Title (in English) |
|
| Keyword(1) |
reservoir computing |
| Keyword(2) |
hysteresis neuron |
| Keyword(3) |
optimization |
| Keyword(4) |
time control |
| Keyword(5) |
learning |
| Keyword(6) |
time constant |
| Keyword(7) |
|
| Keyword(8) |
|
| 1st Author's Name |
Kenta Yokoyama |
| 1st Author's Affiliation |
Tokyo City University (Tokyo City Univ.) |
| 2nd Author's Name |
Kenya Jin'no |
| 2nd Author's Affiliation |
Tokyo City University (Tokyo City Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2024-06-07 15:55:00 |
| Presentation Time |
25 minutes |
| Registration for |
NLP |
| Paper # |
NLP2024-40, CCS2024-27 |
| Volume (vol) |
vol.124 |
| Number (no) |
no.62(NLP), no.63(CCS) |
| Page |
pp.117-120 |
| #Pages |
4 |
| Date of Issue |
2024-05-30 (NLP, CCS) |