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| 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 |
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| 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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | MBE2013-32 |
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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 | Author-1 |
| Date Time | 2013-07-19 16:25:00 |
| Presentation Time | 25 minutes |
| Registration for | MBE |
| Paper # | MBE2013-32 |
| Volume (vol) | vol.113 |
| Number (no) | no.147 |
| Page | pp.33-36 |
| #Pages | 4 |
| Date of Issue | 2013-07-12 (MBE) |
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