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| Presentation | 2014-06-27 15:50 Sparsification of Dynamic Binary Neural Networks Jungo Moriyasu, Toshimichi Saito (Hosei Univ.)  NC2014-16 IBISML2014-16 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper studies basic dynamics and learning capability of the dynamic binary neural network. The network has the signum activation function and can exhibit various binary periodic orbits. The network dynamics can be visualized by the Gray-code-based return map. We present a learning algorithm based on the correlation learning and the genetic algorithm. The purpose of the learning is not only storage of teacher signal but also enlargement of the domain of attraction to the teacher signal. As a typical example of the teacher signal, we use an artificial periodic orbit and a periodic orbit which corresponds to the control signal of the matrix converters. Performing basic numerical experiment, we have confirmed that the teacher signal can be stored successfully and the sparsification can be effective to reinforce the stability of the periodic orbit. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Neural Network / Correlation learning / Genetic Algorithm / Return Map / Sparse / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 104, NC2014-16, pp. 243-248, June 2014. | |
| Paper # | NC2014-16 | |
| Date of Issue | 2014-06-18 (NC, IBISML) | |
| 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 | NC2014-16 IBISML2014-16 |
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| Conference Information | |
| Committee | NC IPSJ-BIO IBISML IPSJ-MPS |
| Conference Date | 2014-06-25 - 2014-06-27 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning Approach to Biodata Mining, and General |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2014-06-NC-BIO-IBISML-MPS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Sparsification of Dynamic Binary Neural Networks |
| Sub Title (in English) | |
| Keyword(1) | Neural Network |
| Keyword(2) | Correlation learning |
| Keyword(3) | Genetic Algorithm |
| Keyword(4) | Return Map |
| Keyword(5) | Sparse |
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| Keyword(8) | |
| 1st Author's Name | Jungo Moriyasu |
| 1st Author's Affiliation | Hosei University (Hosei Univ.) |
| 2nd Author's Name | Toshimichi Saito |
| 2nd Author's Affiliation | Hosei University (Hosei Univ.) |
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| Speaker | Author-1 |
| Date Time | 2014-06-27 15:50:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2014-16, IBISML2014-16 |
| Volume (vol) | vol.114 |
| Number (no) | no.104(NC), no.105(IBISML) |
| Page | pp.243-248 |
| #Pages | 6 |
| Date of Issue | 2014-06-18 (NC, IBISML) |
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