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Paper Abstract and Keywords
Presentation 2023-10-06 10:30
Prediction and detection for extreme events of semiconductor laser using echo state network
Shoma Ohara (Tokyo Univ. of Tech.), Kazutaka Kanno, Atsushi Uchida (Saitama Univ.), Hiroaki Kurokawa (Tokyo Univ. of Tech.) CAS2023-33 NLP2023-32
Abstract (in Japanese) (See Japanese page) 
(in English) Intermittent chaos is a one of nonlinear dynamics of a semiconductor laser with optical-feedback. Intermittent chaos consists of a laminar state with a small amplitude and a burst with a sudden and rapid increase in amplitude. It is important to predict the occurrence of such sudden phenomena before they occur. In this study, we perform time-series prediction of intermittent chaos in semiconductor laser using reservoir computing. We also evaluate whether the prediction results can be detected the occurrence of extreme events.
Keyword (in Japanese) (See Japanese page) 
(in English) Reservoir computing / Time-series prediction / Semiconductor laser / Intermittent chaos / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 203, NLP2023-32, pp. 13-13, Oct. 2023.
Paper # NLP2023-32 
Date of Issue 2023-09-29 (CAS, NLP) 
ISSN Online edition: ISSN 2432-6380
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)
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Conference Information
Committee NLP CAS  
Conference Date 2023-10-06 - 2023-10-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Work plaza Gifu 
Topics (in Japanese) (See Japanese page) 
Topics (in English) CAS, NLP, etc. 
Paper Information
Registration To NLP 
Conference Code 2023-10-NLP-CAS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Prediction and detection for extreme events of semiconductor laser using echo state network 
Sub Title (in English)  
Keyword(1) Reservoir computing  
Keyword(2) Time-series prediction  
Keyword(3) Semiconductor laser  
Keyword(4) Intermittent chaos  
1st Author's Name Shoma Ohara  
1st Author's Affiliation Tokyo University of Technology (Tokyo Univ. of Tech.)
2nd Author's Name Kazutaka Kanno  
2nd Author's Affiliation Saitama University (Saitama Univ.)
3rd Author's Name Atsushi Uchida  
3rd Author's Affiliation Saitama University (Saitama Univ.)
4th Author's Name Hiroaki Kurokawa  
4th Author's Affiliation Tokyo University of Technology (Tokyo Univ. of Tech.)
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Speaker Author-1 
Date Time 2023-10-06 10:30:00 
Presentation Time 20 minutes 
Registration for NLP 
Paper # CAS2023-33, NLP2023-32 
Volume (vol) vol.123 
Number (no) no.202(CAS), no.203(NLP) 
Page p.13 
Date of Issue 2023-09-29 (CAS, NLP) 

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