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Paper Abstract and Keywords
Presentation 2009-07-13 11:00
Acceleration of Learning Process of Self-Organizing Maps Using Asymmetric Neighborhood Functions
Kaiichiro Ota, Takaaki Aoki (Kyoto Univ.), Koji Kurata (Univ. of the Ryukyus), Toshio Aoyagi (Kyoto Univ.) NLP2009-16 NC2009-9
Abstract (in Japanese) (See Japanese page) 
(in English) In primary sensory cortices, there exists a significant ordered structure called a topographic map. The self-organizing map (SOM) is an unsupervised neural network model which was developed to explain the spontaneous formation of a topographic map in the brain. In this model, topological defects appearing during learning is a major problem, because such defects delay the ordering process of the map. In this study, we show that the asymmetric neighborhood functions can eliminate topological defects and thus accelerate the ordering process of the model.
Keyword (in Japanese) (See Japanese page) 
(in English) Self-organizing map / Asymmetric neighborhood function / Acceleration / Topographic map / Topological defect / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 125, NC2009-9, pp. 13-18, July 2009.
Paper # NC2009-9 
Date of Issue 2009-07-06 (NLP, 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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NLP2009-16 NC2009-9

Conference Information
Committee NC NLP  
Conference Date 2009-07-13 - 2009-07-14 
Place (in Japanese) (See Japanese page) 
Place (in English) NAIST 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2009-07-NC-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Acceleration of Learning Process of Self-Organizing Maps Using Asymmetric Neighborhood Functions 
Sub Title (in English)  
Keyword(1) Self-organizing map  
Keyword(2) Asymmetric neighborhood function  
Keyword(3) Acceleration  
Keyword(4) Topographic map  
Keyword(5) Topological defect  
1st Author's Name Kaiichiro Ota  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Takaaki Aoki  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
3rd Author's Name Koji Kurata  
3rd Author's Affiliation University of the Ryukyus (Univ. of the Ryukyus)
4th Author's Name Toshio Aoyagi  
4th Author's Affiliation Kyoto University (Kyoto Univ.)
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Date Time 2009-07-13 11:00:00 
Presentation Time 30 
Registration for NC 
Paper # IEICE-NLP2009-16,IEICE-NC2009-9 
Volume (vol) IEICE-109 
Number (no) no.124(NLP), no.125(NC) 
Page pp.13-18 
#Pages IEICE-6 
Date of Issue IEICE-NLP-2009-07-06,IEICE-NC-2009-07-06 

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