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Paper Abstract and Keywords
Presentation 2017-01-26 14:35
Associative memory model storing memory patterns with nonuniform learning frequency and correlation structure
Akinori Takemoto, Tomoyuki Kimoto (NIT, Oita College) NC2016-49
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we analyze stable states of an autocorrelation associative memory model storing memory patterns with nonuniform learning frequency and correlation structure by statistical mechanics and computer simulation. We use abstract memory pattern possessing two information such as the difference of the individuals and the observation direction in 2D observation image like human faces. In addition, we use abstract difference of learning frequency of memory patterns by observation direction difference. As the result of analysis, we found that there are several types of stable states, one is a state possessing information of differences among individual, and the others are the state losting the information. We found that individual identification that does not depend on observation direction is possible by the stable state possessing individual information. We also found that the stability of the stable state possessing individual information is increased by the influence of nonuniform learning frequency.
Keyword (in Japanese) (See Japanese page) 
(in English) Hopfield model / nonuniform learning frequency / correlation structure pattern / mixed state / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 424, NC2016-49, pp. 7-12, Jan. 2017.
Paper # NC2016-49 
Date of Issue 2017-01-19 (NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee NC NLP  
Conference Date 2017-01-26 - 2017-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Implementation of Neuro Computing,Analysis and Modeling of Human Science, etc 
Paper Information
Registration To NC 
Conference Code 2017-01-NC-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Associative memory model storing memory patterns with nonuniform learning frequency and correlation structure 
Sub Title (in English)  
Keyword(1) Hopfield model  
Keyword(2) nonuniform learning frequency  
Keyword(3) correlation structure pattern  
Keyword(4) mixed state  
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1st Author's Name Akinori Takemoto  
1st Author's Affiliation National Institute of Technology, Oita College (NIT, Oita College)
2nd Author's Name Tomoyuki Kimoto  
2nd Author's Affiliation National Institute of Technology, Oita College (NIT, Oita College)
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Speaker Author-1 
Date Time 2017-01-26 14:35:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2016-49 
Volume (vol) vol.116 
Number (no) no.424 
Page pp.7-12 
#Pages
Date of Issue 2017-01-19 (NC) 


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