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| Presentation | 2020-03-05 10:20 An extension of the H_infinity learning to deep neural networks Yasuhiro Sugawara, Kiyoshi Nishiyama (Iwate University)  NC2019-92 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, deep neural networks have achieved remarkable research results. In this study, we propose a method to extend the H∞-learning proposed by one of the authors to deep neural networks. The H∞-learning is a learning method that addresses the difficulties of learning in neural networks. The H∞-learning is derived from applying the extended H∞ filter to a state space model of neural network including an observation matrix. This study extends the H∞-learning to deep neural networks by only changing the calculation of this observation matrix. And we also derive a method to recursively calculate each element of the matrix. In addition, the learning performance is evaluated by simulation in comparison with the conventional backpropagation method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | neural network / learning algorithm / H∞-learning / backpropagation / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 453, NC2019-92, pp. 95-100, March 2020. | |
| Paper # | NC2019-92 | |
| Date of Issue | 2020-02-26 (NC) | |
| ISSN | 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 | NC2019-92 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2020-03-04 - 2020-03-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | University of Electro Communications |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Neuro Computing, Medical Engineering, etc. |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2020-03-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An extension of the H_infinity learning to deep neural networks |
| Sub Title (in English) | |
| Keyword(1) | neural network |
| Keyword(2) | learning algorithm |
| Keyword(3) | H∞-learning |
| Keyword(4) | backpropagation |
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| 1st Author's Name | Yasuhiro Sugawara |
| 1st Author's Affiliation | Iwate University (Iwate University) |
| 2nd Author's Name | Kiyoshi Nishiyama |
| 2nd Author's Affiliation | Iwate University (Iwate University) |
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| Speaker | Author-1 |
| Date Time | 2020-03-05 10:20:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2019-92 |
| Volume (vol) | vol.119 |
| Number (no) | no.453 |
| Page | pp.95-100 |
| #Pages | 6 |
| Date of Issue | 2020-02-26 (NC) |
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