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Paper Abstract and Keywords
Presentation 2019-09-24 11:05
Reservoir Computing using Coupled Stuart-Landau Oscillators
Shoya Nakajima, Yuichi Katori (FUN) NLP2019-54
Abstract (in Japanese) (See Japanese page) 
(in English) Reservoir computing is a framework of recurrent neural network that learns time series, and is used in various research fields, because the computational cost of the learning is low and implementation is easy. Echo state network (ESN) is a network model of reservoir computing, but it is difficult to learn complex time series. Therefore, we proposed a reservoir computing model using Stuart-Landau (SL) oscillators as network elements. In this study, we show that the proposed model has higher prediction accuracy for complex time series data than that of conventional ESN. In addition, we analyzed the dependencies of prediction performance on the model parameters, and revealed that the higher prediction performance is realized in the region in which the SL oscillator exhibits damping oscillation. This study is expected to contribute to modeling and analysis of oscillatory phenomena like audio waveforms and EEG signals.
Keyword (in Japanese) (See Japanese page) 
(in English) Reservoir Computing / Stuart-Landau oscillator / Time series prediction / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 209, NLP2019-54, pp. 99-104, Sept. 2019.
Paper # NLP2019-54 
Date of Issue 2019-09-16 (NLP) 
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 NLP2019-54

Conference Information
Committee NLP  
Conference Date 2019-09-23 - 2019-09-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Eikokuji Campus, University of Kochi 
Topics (in Japanese) (See Japanese page) 
Topics (in English) etc. 
Paper Information
Registration To NLP 
Conference Code 2019-09-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Reservoir Computing using Coupled Stuart-Landau Oscillators 
Sub Title (in English)  
Keyword(1) Reservoir Computing  
Keyword(2) Stuart-Landau oscillator  
Keyword(3) Time series prediction  
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1st Author's Name Shoya Nakajima  
1st Author's Affiliation Future University Hakodate (FUN)
2nd Author's Name Yuichi Katori  
2nd Author's Affiliation Future University Hakodate (FUN)
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Speaker Author-1 
Date Time 2019-09-24 11:05:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2019-54 
Volume (vol) vol.119 
Number (no) no.209 
Page pp.99-104 
#Pages 6 
Date of Issue 2019-09-16 (NLP) 

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