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Paper Abstract and Keywords
Presentation 2008-03-14 15:50
A Supervised Learning Method Based on Adaptive Resonance Theory Considering Task Complexity
Yusuke Takenaka, Takeshi Kamio, Hisato Fujisaka, Kazuhisa Haeiwa (Hiroshima City Univ.) NC2007-199
Abstract (in Japanese) (See Japanese page) 
(in English) Fuzzy ARTMAP (FAM) is a supervised learning system based on the adaptive resonance theory (ART). If FAM learns samples with a large amount of noise, it increases categories rapidly and the performance decreases heavily. Although many slow learning methods have been devised to solve the problem, they are less suitable for the region classification tasks than FCSR which is the original learning method for FAM. This report shows that our proposed learning method can improve the learning and recognition performances of FAM, irrespective task complexity (e.g., noisy / noiseless environment). Our method is a simple learning method based on FCSR and AL which is a typical slow learning method. It reflects our original ideas in terms of the match tracking, the initial memory of a new generated node, and growth of categories.
Keyword (in Japanese) (See Japanese page) 
(in English) adaptive resonance theory / fuzzy ARTMAP / match tracking / vigilance parameter / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 542, NC2007-199, pp. 513-518, March 2008.
Paper # NC2007-199 
Date of Issue 2008-03-05 (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 NC2007-199

Conference Information
Committee NC MBE  
Conference Date 2008-03-12 - 2008-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Tamagawa Univ 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2008-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Supervised Learning Method Based on Adaptive Resonance Theory Considering Task Complexity 
Sub Title (in English)  
Keyword(1) adaptive resonance theory  
Keyword(2) fuzzy ARTMAP  
Keyword(3) match tracking  
Keyword(4) vigilance parameter  
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1st Author's Name Yusuke Takenaka  
1st Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
2nd Author's Name Takeshi Kamio  
2nd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
3rd Author's Name Hisato Fujisaka  
3rd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
4th Author's Name Kazuhisa Haeiwa  
4th Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
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Speaker Author-1 
Date Time 2008-03-14 15:50:00 
Presentation Time 20 minutes 
Registration for NC 
Paper # NC2007-199 
Volume (vol) vol.107 
Number (no) no.542 
Page pp.513-518 
#Pages 6 
Date of Issue 2008-03-05 (NC) 

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