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| Presentation | 2019-10-22 16:45 On transition from periodic orbits to fixed points in simple neural networks Yuki Kawamura, Toshimichi Saito (HU)  CAS2019-37 NLP2019-77 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | A dynamic binary neural network is a recurrent-type neural network characterized by cross-connection parameters and signum activation function. Depending on the parameters, the network can generate various binary periodic orbits. This paper studies transition from a target basic periodic orbit to a set of fixed points. Performing elementary numerical experiments, we have found two typical patterns. First, a target periodic orbit is changed into a set of fixed points via a periodic orbit with long period. Second, a target periodic orbit is changed into transient phenomena and is changed into a set of fixed points. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Dynamic binary neural networks / Periodic oebits / / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 238, NLP2019-77, pp. 71-75, Oct. 2019. | |
| Paper # | NLP2019-77 | |
| Date of Issue | 2019-10-15 (CAS, NLP) | |
| 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 | CAS2019-37 NLP2019-77 |
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| Conference Information | |
| Committee | NLP CAS |
| Conference Date | 2019-10-22 - 2019-10-23 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Gifu Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mathematical modeling, numerical simulation etc. |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2019-10-NLP-CAS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | On transition from periodic orbits to fixed points in simple neural networks |
| Sub Title (in English) | |
| Keyword(1) | Dynamic binary neural networks |
| Keyword(2) | Periodic oebits |
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| 1st Author's Name | Yuki Kawamura |
| 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 | 2019-10-22 16:45:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | CAS2019-37, NLP2019-77 |
| Volume (vol) | vol.119 |
| Number (no) | no.237(CAS), no.238(NLP) |
| Page | pp.71-75 |
| #Pages | 5 |
| Date of Issue | 2019-10-15 (CAS, NLP) |
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