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| Presentation | 2009-03-13 13:00 Self-organizing algorithm of dynamical systems: Approaches from Parametric Bias method and mnSOM Takashi Ohkubo, Jun-ichi Tsuji, Kazuhiro Tokunaga, Tetsuo Furukawa (Kyushu Inst. of Tech.)  NC2008-168 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The purpose of this work is to develop a neural network architecture which enables us to deal with a group of dynamical systems. The architecture, which is refered as Multi-Dynamics Learning Network (MDLN), is expected to satisfy the following three requirements. (i) By giving a set of time seriese as a training dataset, MDLN estimates those dynamics as well as unobservable variables. (ii) MDLN orders those dynamics according to the similarities between them. (iii) MDLN represents and/or interpolates intermediate dynamics between given dynamics. Though the Recurrent Neural Network with Parametric Bias (RNNPB) and the modular network SOM with recurrent neural network modules (RNN-mnSOM) have been proposed for this purpose, it is shown in this paper that these two architectures do not satisfy the above requirements. It is also shown that an additive normalization algorithm improves the learning performance of RNNPB and RNN-mnSOM so that they satisfy the above three requreiments. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Self-Organizing Map / Recurrent Neural Network / RNNPB / RNN-mnSOM / Dynamics / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 108, no. 480, NC2008-168, pp. 381-386, March 2009. | |
| Paper # | NC2008-168 | |
| Date of Issue | 2009-03-04 (NC) | |
| 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 | NC2008-168 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2009-03-11 - 2009-03-13 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tamagawa Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2009-03-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Self-organizing algorithm of dynamical systems: Approaches from Parametric Bias method and mnSOM |
| Sub Title (in English) | |
| Keyword(1) | Self-Organizing Map |
| Keyword(2) | Recurrent Neural Network |
| Keyword(3) | RNNPB |
| Keyword(4) | RNN-mnSOM |
| Keyword(5) | Dynamics |
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| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Takashi Ohkubo |
| 1st Author's Affiliation | Kyushu Institute of Technology (Kyushu Inst. of Tech.) |
| 2nd Author's Name | Jun-ichi Tsuji |
| 2nd Author's Affiliation | Kyushu Institute of Technology (Kyushu Inst. of Tech.) |
| 3rd Author's Name | Kazuhiro Tokunaga |
| 3rd Author's Affiliation | Kyushu Institute of Technology (Kyushu Inst. of Tech.) |
| 4th Author's Name | Tetsuo Furukawa |
| 4th Author's Affiliation | Kyushu Institute of Technology (Kyushu Inst. of Tech.) |
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| Speaker | Author-1 |
| Date Time | 2009-03-13 13:00:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2008-168 |
| Volume (vol) | vol.108 |
| Number (no) | no.480 |
| Page | pp.381-386 |
| #Pages | 6 |
| Date of Issue | 2009-03-04 (NC) |
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