Paper Abstract and Keywords |
Presentation |
2017-06-24 09:55
Stability of fixed points and periodic orbits in dynamic binary neural networks Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (Hosei Univ.) NC2017-14 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The dynamic neural networks are characterized by the signum activation function and ternary connection parameters.
Depending on the parameters, the network can generate various binary periodic orbits and fixed points.
This paper studies stability of target periodic orbit (or a target memory set of fixed points) stored it the network.
Using typical examples, we have investigated relationship between stability of the target periodic orbit and sparsity of the network connection.
In the examples, the sparsity increases, the orbit stability tends to be reinforced.
As the sparsity increases farther, the stability becomes weak and the network approaches an equivalent system to the shift register where no stable periodic orbit exist. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Dynamic binary neural networks / Fixed points / Periodic orbits / Stability / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 109, NC2017-14, pp. 99-103, June 2017. |
Paper # |
NC2017-14 |
Date of Issue |
2017-06-16 (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) |
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NC2017-14 |
Conference Information |
Committee |
NC IPSJ-BIO IBISML IPSJ-MPS |
Conference Date |
2017-06-23 - 2017-06-25 |
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 |
2017-06-NC-BIO-IBISML-MPS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Stability of fixed points and periodic orbits in dynamic binary neural networks |
Sub Title (in English) |
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Keyword(1) |
Dynamic binary neural networks |
Keyword(2) |
Fixed points |
Keyword(3) |
Periodic orbits |
Keyword(4) |
Stability |
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1st Author's Name |
Seitaro Koyama |
1st Author's Affiliation |
Hosei University (Hosei Univ.) |
2nd Author's Name |
Shunsuke Aoki |
2nd Author's Affiliation |
Hosei University (Hosei Univ.) |
3rd Author's Name |
Toshimichi Saito |
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Hosei University (Hosei Univ.) |
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Speaker |
Author-1 |
Date Time |
2017-06-24 09:55:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2017-14 |
Volume (vol) |
vol.117 |
Number (no) |
no.109 |
Page |
pp.99-103 |
#Pages |
5 |
Date of Issue |
2017-06-16 (NC) |
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