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Paper Abstract and Keywords
Presentation 2008-10-20 13:30
Fault-Tolerant Multilayer Neural Networks for Multiple Weight-and-Neuron-Fault
Kazuhiro Nishimura (Polytech Univ.), Masato Ootsu (JP Network), Tadayoshi Horita (Polytech Univ.), Itsuo Takanami (Ichinoseki kousen (former)) DC2008-22
Abstract (in Japanese) (See Japanese page) 
(in English) The architecture of artificial neural networks, which are derived from brain mechanisms, are quite different from ordinal computer systems, and there are many studies dealing with their applications in the areas of the pattern recognition and the data mining. To realize the networks performing practical intelligent tasks in hardware, faults in them are not negligible because the great number of neurons are necessary. In this paper, five learning algorithms, which realize their fault-tolerances in multilayer neural networks, are introduced, and compared with each other, based on computer simulations.
Keyword (in Japanese) (See Japanese page) 
(in English) Neural network / Fault-tolerance / Back propergation / Learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 248, DC2008-22, pp. 1-6, Oct. 2008.
Paper # DC2008-22 
Date of Issue 2008-10-13 (DC) 
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)
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Conference Information
Committee DC  
Conference Date 2008-10-20 - 2008-10-20 
Place (in Japanese) (See Japanese page) 
Place (in English) National Center of Sciences 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To DC 
Conference Code 2008-10-DC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Fault-Tolerant Multilayer Neural Networks for Multiple Weight-and-Neuron-Fault 
Sub Title (in English)  
Keyword(1) Neural network  
Keyword(2) Fault-tolerance  
Keyword(3) Back propergation  
Keyword(4) Learning  
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Keyword(6)  
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1st Author's Name Kazuhiro Nishimura  
1st Author's Affiliation Politechnic Univercity (Polytech Univ.)
2nd Author's Name Masato Ootsu  
2nd Author's Affiliation Japan Post Network (JP Network)
3rd Author's Name Tadayoshi Horita  
3rd Author's Affiliation Politechnic Univercity (Polytech Univ.)
4th Author's Name Itsuo Takanami  
4th Author's Affiliation Ichinoseki National College of Technology in former times (Ichinoseki kousen (former))
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Speaker Author-1 
Date Time 2008-10-20 13:30:00 
Presentation Time 25 minutes 
Registration for DC 
Paper # DC2008-22 
Volume (vol) vol.108 
Number (no) no.248 
Page pp.1-6 
#Pages 6 
Date of Issue 2008-10-13 (DC) 

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