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| Paper Abstract and Keywords | ||
| Presentation | 2023-03-15 14:00 On binary periodic orbits in sparse binary neural networks Hiroki Nonaka, Toshimichi Saito (HU)  MSS2022-71 NLP2022-116 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper studies periodic orbits in a dynamic binary neural network constructed by the signum activation function and sparse binary connection. The dynamics is described by an autonomous difference equation of binary state variables. Depending on the connection parameters, the network exhibits a variety of rotation-type periodic orbits of binary vectors. In the network, we present simple parameter setting method that guarantees generation of typical periodic orbits. Applying precise numerical/theoretical analysis, the number and stability of the periodic orbits are clarified. Presenting a simple FPGA based hardware prototype, typical periodic orbits are confirmed experimentally. The hardware will be developed into engineering applications including control systems of switching circuits and walking robots. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | reccurent neural networks / binary neural networks / periodic orbits / stability / FPGA / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 436, NLP2022-116, pp. 49-52, March 2023. | |
| Paper # | NLP2022-116 | |
| Date of Issue | 2023-03-08 (MSS, NLP) | |
| 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 | MSS2022-71 NLP2022-116 |
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| Conference Information | |
| Committee | NLP MSS |
| Conference Date | 2023-03-15 - 2023-03-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2023-03-NLP-MSS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | On binary periodic orbits in sparse binary neural networks |
| Sub Title (in English) | |
| Keyword(1) | reccurent neural networks |
| Keyword(2) | binary neural networks |
| Keyword(3) | periodic orbits |
| Keyword(4) | stability |
| Keyword(5) | FPGA |
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| Keyword(8) | |
| 1st Author's Name | Hiroki Nonaka |
| 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 | 2023-03-15 14:00:00 |
| Presentation Time | 20 minutes |
| Registration for | NLP |
| Paper # | MSS2022-71, NLP2022-116 |
| Volume (vol) | vol.122 |
| Number (no) | no.435(MSS), no.436(NLP) |
| Page | pp.49-52 |
| #Pages | 4 |
| Date of Issue | 2023-03-08 (MSS, NLP) |
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