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| Presentation | 2015-07-18 15:50 Analysis of a chaotic time series using connection weight vectors of neural networks Masatake Akutagawa, Takahiro Kinouchi, Takahiro Emoto, Hirofumi Nagashino, Shinsuke Konaka, Yohsuke Kinouchi (Tokushima Univ.)  MBE2015-24 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | A method to analyze a time series to quantify change of internal state of a non-linear system is introduced. A multi-layered neural network is trained to embed a model of the system from given time series. The state is considered to be embedded as a connection weight vector in the neural network. The change of the state is able to be quantified from the connection weight vectors. Generally, the sensitivity of the measure becomes lower because the dimension of the connection weight is high. To avoid this concentration of the measure phenomenon, dimension of the connection weight vector is compressed by the principal component analysis. As result of them, we confirmed applicability of the proposed method for the Ikeda map, which generates chaotic time series. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | time series / neural network / FNN / PCA / Ikeda map / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 147, MBE2015-24, pp. 23-28, July 2015. | |
| Paper # | MBE2015-24 | |
| Date of Issue | 2015-07-11 (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 | MBE2015-24 |
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| Conference Information | |
| Committee | MBE NC |
| Conference Date | 2015-07-18 - 2015-07-18 |
| 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 | 2015-07-MBE-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analysis of a chaotic time series using connection weight vectors of neural networks |
| Sub Title (in English) | |
| Keyword(1) | time series |
| Keyword(2) | neural network |
| Keyword(3) | FNN |
| Keyword(4) | PCA |
| Keyword(5) | Ikeda map |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Masatake Akutagawa |
| 1st Author's Affiliation | Tokushima University (Tokushima Univ.) |
| 2nd Author's Name | Takahiro Kinouchi |
| 2nd Author's Affiliation | Tokushima University (Tokushima Univ.) |
| 3rd Author's Name | Takahiro Emoto |
| 3rd Author's Affiliation | Tokushima University (Tokushima Univ.) |
| 4th Author's Name | Hirofumi Nagashino |
| 4th Author's Affiliation | Tokushima University (Tokushima Univ.) |
| 5th Author's Name | Shinsuke Konaka |
| 5th Author's Affiliation | Tokushima University (Tokushima Univ.) |
| 6th Author's Name | Yohsuke Kinouchi |
| 6th Author's Affiliation | Tokushima University (Tokushima Univ.) |
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| Speaker | Author-1 |
| Date Time | 2015-07-18 15:50:00 |
| Presentation Time | 25 minutes |
| Registration for | MBE |
| Paper # | MBE2015-24 |
| Volume (vol) | vol.115 |
| Number (no) | no.147 |
| Page | pp.23-28 |
| #Pages | 6 |
| Date of Issue | 2015-07-11 (MBE) |
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