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Paper Abstract and Keywords
Presentation 2025-12-11 13:40

Daiki Matsui (Chukyo Univ.), Yoshitaka Itoh (Hokkaido Univ. Sci.), Kaito Kato, Takuji Kousaka (Chukyo Univ.) NLP2025-61
Abstract (in Japanese) (See Japanese page) 
(in English) This study proposes a bifurcation analysis method, which can be applied directly to data-driven models. These models include Support-vector machine (SVM) and Regularized extreme learning machine (RELM), and can train on time-series data from switched discrete dynamical systems. First, we define the n-dimensional switched discrete dynamical systems. Next, we propose an attractor estimation method and a bifurcation analysis method based on the data-driven models. Finally, to confirm the effectiveness of the proposed method, we apply it to a 2-dimensional switched discrete dynamical system. Our results show that the proposed method predicts the system's bifurcation points with sufficient accuracy, demonstrating its effectiveness.
Keyword (in Japanese) (See Japanese page) 
(in English) Bifurcation analysis / Support-vector machine / Regularized extreme learning machine / Switched dynamical systems / Time-series data / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 283, NLP2025-61, pp. 44-47, Dec. 2025.
Paper # NLP2025-61 
Date of Issue 2025-12-04 (NLP) 
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 NLP2025-61

Conference Information
Committee NLP  
Conference Date 2025-12-11 - 2025-12-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Kochi Castle Museum of History 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Nonlinear problem, etc 
Paper Information
Registration To NLP 
Conference Code 2025-12-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English)  
Sub Title (in English)  
Keyword(1) Bifurcation analysis  
Keyword(2) Support-vector machine  
Keyword(3) Regularized extreme learning machine  
Keyword(4) Switched dynamical systems  
Keyword(5) Time-series data  
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1st Author's Name Daiki Matsui  
1st Author's Affiliation Chukyo University (Chukyo Univ.)
2nd Author's Name Yoshitaka Itoh  
2nd Author's Affiliation Hokkaido University of Science (Hokkaido Univ. Sci.)
3rd Author's Name Kaito Kato  
3rd Author's Affiliation Chukyo University (Chukyo Univ.)
4th Author's Name Takuji Kousaka  
4th Author's Affiliation Chukyo University (Chukyo Univ.)
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Speaker Author-1 
Date Time 2025-12-11 13:40:00 
Presentation Time 20 minutes 
Registration for NLP 
Paper # NLP2025-61 
Volume (vol) vol.125 
Number (no) no.283 
Page pp.44-47 
#Pages 4 
Date of Issue 2025-12-04 (NLP) 

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