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Paper Abstract and Keywords
Presentation 2016-11-17 14:00
Extraction of low dimensional attractors embedded in a recurrent neural network by using Dynamic Mode Decomposition
Shin Murata (Univ. Tokyo), Masato Okada (Univ. Tokyo/RIKEN) IBISML2016-85
Abstract (in Japanese) (See Japanese page) 
(in English) Dynamic Mode Decomposition (DMD) decomposes high-dimensional dynamical data into a few dynamic modes and has been developed in the fluid-dynamics field. The decomposed modes consist of spatial bases and eigenvalues. We apply DMD to the simulation data of a recurrent neural network, and success to extract low-dimensional attractor embedded in the model.
Keyword (in Japanese) (See Japanese page) 
(in English) Recurrent Neural Network / Dynamic Mode Decomposition / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 300, IBISML2016-85, pp. 279-285, Nov. 2016.
Paper # IBISML2016-85 
Date of Issue 2016-11-09 (IBISML) 
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)
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Conference Information
Committee IBISML  
Conference Date 2016-11-16 - 2016-11-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information-Based Induction Science Workshop (IBIS2016) 
Paper Information
Registration To IBISML 
Conference Code 2016-11-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Extraction of low dimensional attractors embedded in a recurrent neural network by using Dynamic Mode Decomposition 
Sub Title (in English)  
Keyword(1) Recurrent Neural Network  
Keyword(2) Dynamic Mode Decomposition  
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1st Author's Name Shin Murata  
1st Author's Affiliation The University of Tokyo (Univ. Tokyo)
2nd Author's Name Masato Okada  
2nd Author's Affiliation The University of Tokyo/RIKEN (Univ. Tokyo/RIKEN)
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Speaker Author-1 
Date Time 2016-11-17 14:00:00 
Presentation Time 180 minutes 
Registration for IBISML 
Paper # IBISML2016-85 
Volume (vol) vol.116 
Number (no) no.300 
Page pp.279-285 
#Pages 7 
Date of Issue 2016-11-09 (IBISML) 

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