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| Paper Abstract and Keywords | ||
| Presentation | 2015-06-25 15:45 Learning of dynamic binary neural networks based on the simple feature quantity Ryuji Sato, Toshimichi Saito (HU)  NC2015-9 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper studies learning of the dynamic binary neural network that can generate various binary periodic orbits. The learning aims at storage of a desired periodic orbit and stabilization of the stored periodic orbits. For the storage, we have a simple correlation-based learning algorithm. For the stabilization, we present a simple algorithm that sparsifies the connect matrix. In order to evaluate the network behavior, we introduce two feature quantities of steady states and transient states. On the plane of two feature quantities, the learning process can be visualized. Performing numerical experiments using a basic example, we investigate the effectiveness of learning algorithm. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Binary Neural Networks / Correlation Learning / Sparsification / Quantities / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 111, NC2015-9, pp. 83-87, June 2015. | |
| Paper # | NC2015-9 | |
| Date of Issue | 2015-06-17 (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 | NC2015-9 |
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| Conference Information | |
| Committee | NC IPSJ-BIO IBISML IPSJ-MPS |
| Conference Date | 2015-06-23 - 2015-06-25 |
| 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 | 2015-06-NC-BIO-IBISML-MPS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Learning of dynamic binary neural networks based on the simple feature quantity |
| Sub Title (in English) | |
| Keyword(1) | Binary Neural Networks |
| Keyword(2) | Correlation Learning |
| Keyword(3) | Sparsification |
| Keyword(4) | Quantities |
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| Keyword(8) | |
| 1st Author's Name | Ryuji Sato |
| 1st Author's Affiliation | Hosei University (HU) |
| 2nd Author's Name | Toshimichi Saito |
| 2nd Author's Affiliation | Hosei University (HU) |
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| Speaker | Author-1 |
| Date Time | 2015-06-25 15:45:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2015-9 |
| Volume (vol) | vol.115 |
| Number (no) | no.111 |
| Page | pp.83-87 |
| #Pages | 5 |
| Date of Issue | 2015-06-17 (NC) |
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