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Paper Abstract and Keywords
Presentation 2013-07-19 16:25
Analysis of state change of nonlinear systems using neural networks -- Analysis of the connection weights by principal component analysis --
Takahiro Kinouchi, Masatake Akutagawa, Takahiro Emoto, Hirofumi Nagashino, Shinsuke Konaka, Yohsuke Kinouchi (Univ. of Tokushima) MBE2013-32
Abstract (in Japanese) (See Japanese page) 
(in English) Nonlinearity is one of the significant factor to characteristics of a living body because it is a nonlinear system.The use of neural networks (NN) to analyze the non-linear system, a method to capture the state of nonlinear systems has been reported.However, when applied to EEG this method, a relatively large network is required to model the EEG.The purpose of this study is to propose a method to capture the state changing from obtain signals using weight space analysis of neural networks. In this research, in order to catch the state a known nonlinear system as a simulation of a living body system. The logistic map is used to confirm the applicability of proposed method. In this study, the Principal Component Analysis(PCA) is carried out to clarify the change of weight vectors. As results of computer simulation, change of parameters is successfully captured.
Keyword (in Japanese) (See Japanese page) 
(in English) neural network / nonlinear system / PCA / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 147, MBE2013-32, pp. 33-36, July 2013.
Paper # MBE2013-32 
Date of Issue 2013-07-12 (MBE) 
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee NC MBE  
Conference Date 2013-07-19 - 2013-07-20 
Place (in Japanese) (See Japanese page) 
Place (in English) The University of Tokushima 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ME, general 
Paper Information
Registration To MBE 
Conference Code 2013-07-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of state change of nonlinear systems using neural networks 
Sub Title (in English) Analysis of the connection weights by principal component analysis 
Keyword(1) neural network  
Keyword(2) nonlinear system  
Keyword(3) PCA  
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1st Author's Name Takahiro Kinouchi  
1st Author's Affiliation The University of Tokushima (Univ. of Tokushima)
2nd Author's Name Masatake Akutagawa  
2nd Author's Affiliation The University of Tokushima (Univ. of Tokushima)
3rd Author's Name Takahiro Emoto  
3rd Author's Affiliation The University of Tokushima (Univ. of Tokushima)
4th Author's Name Hirofumi Nagashino  
4th Author's Affiliation The University of Tokushima (Univ. of Tokushima)
5th Author's Name Shinsuke Konaka  
5th Author's Affiliation The University of Tokushima (Univ. of Tokushima)
6th Author's Name Yohsuke Kinouchi  
6th Author's Affiliation The University of Tokushima (Univ. of Tokushima)
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Speaker
Date Time 2013-07-19 16:25:00 
Presentation Time 25 
Registration for MBE 
Paper # IEICE-MBE2013-32 
Volume (vol) IEICE-113 
Number (no) no.147 
Page pp.33-36 
#Pages IEICE-4 
Date of Issue IEICE-MBE-2013-07-12 


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