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Paper Abstract and Keywords
Presentation 2014-12-13 13:20
Consideration of Dynamic Binary Neural Networks based on the Feature Quantity Plane
Ryuji Sato, Jungo Moriyasu, Toshimichi Saito (Hosei Univ.) NC2014-51
Abstract (in Japanese) (See Japanese page) 
(in English) This paper studies learning the 2-layer dynamic binary neural network that can generate various binary periodic orbit.
The learning aims at storage of a desired periodic orbit (or fixed point) and stabilization of the stored periodic orbits.
For the storage, we apply a simple correlation-based learning algorithm.
For the stabilization, we sparsify the network connection.
In order to evaluate the network behavior, we introduce feature quantities of steady states (periodic orbits) and transient states (eventually periodic points).
On the plane of the two feature quantities, the network dynamics can be visualized.
Performing basic numerical experiments, we investigate the effectiveness of learning algorithm and feature quantities plane.
Keyword (in Japanese) (See Japanese page) 
(in English) Binary Neural Networks / Correlation Learning / Sparsification / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 362, NC2014-51, pp. 43-47, Dec. 2014.
Paper # NC2014-51 
Date of Issue 2014-12-06 (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 NC2014-51

Conference Information
Committee MBE NC  
Conference Date 2014-12-13 - 2014-12-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2014-12-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Consideration of Dynamic Binary Neural Networks based on the Feature Quantity Plane 
Sub Title (in English)  
Keyword(1) Binary Neural Networks  
Keyword(2) Correlation Learning  
Keyword(3) Sparsification  
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1st Author's Name Ryuji Sato  
1st Author's Affiliation Hosei University (Hosei Univ.)
2nd Author's Name Jungo Moriyasu  
2nd Author's Affiliation Hosei University (Hosei Univ.)
3rd Author's Name Toshimichi Saito  
3rd Author's Affiliation Hosei University (Hosei Univ.)
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Speaker Author-1 
Date Time 2014-12-13 13:20:00 
Presentation Time 20 minutes 
Registration for NC 
Paper # NC2014-51 
Volume (vol) vol.114 
Number (no) no.362 
Page pp.43-47 
#Pages
Date of Issue 2014-12-06 (NC) 


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