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Paper Abstract and Keywords
Presentation 2017-03-13 11:15
Stability and Sparsity of Dynamic Binary Neural Networks
Shunsuke Aoki, Ryuji Sato, Toshimichi Saito (HU) NC2016-81
Abstract (in Japanese) (See Japanese page) 
(in English) This paper studies relation between sparsification and stability of a desired binary periodic orbit in the dynamic binary neural networks.
Depending on parameters and initial conditions,
the network can generate various binary periodic orbits.
In order to show the connection sparsity and orbit stability, we introduce two simple feature quantities.
Performing basic numerical experiments, we consider two basic problems.
First, as the connection sparsity increases, the orbit stability varies.
In order to store a desired periodic orbit, we have applied a correlation based learning method.
Second, as the connection sparsity approaches to the most sparse case,
the dynamic binary neural network approaches to an equivalent system to the shift register where all the periodic orbits are not stable.
Keyword (in Japanese) (See Japanese page) 
(in English) Binary neural networks / Sparsification / Feature quantities / / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 521, NC2016-81, pp. 103-107, March 2017.
Paper # NC2016-81 
Date of Issue 2017-03-06 (NC) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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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Conference Information
Committee MBE NC  
Conference Date 2017-03-13 - 2017-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2017-03-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Stability and Sparsity of Dynamic Binary Neural Networks 
Sub Title (in English)  
Keyword(1) Binary neural networks  
Keyword(2) Sparsification  
Keyword(3) Feature quantities  
1st Author's Name Shunsuke Aoki  
1st Author's Affiliation Hosei University (HU)
2nd Author's Name Ryuji Sato  
2nd Author's Affiliation Hosei University (HU)
3rd Author's Name Toshimichi Saito  
3rd Author's Affiliation Hosei University (HU)
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Date Time 2017-03-13 11:15:00 
Presentation Time 25 
Registration for NC 
Paper # IEICE-NC2016-81 
Volume (vol) IEICE-116 
Number (no) no.521 
Page pp.103-107 
#Pages IEICE-5 
Date of Issue IEICE-NC-2017-03-06 

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