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Paper Abstract and Keywords
Presentation 2014-01-21 15:40
Neural Network learning using Inverse Function Delayless Model
Yuta Horiuchi (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2013-142
Abstract (in Japanese) (See Japanese page) 
(in English) The Inverse function Delayed (ID) model has been proposed as one of novel neural models. The ID model has an ability of oscillation, and this model can solve some local minimum problem in combinatorial optimiza- tion problems. However, ID model has large calculation cost, and it is difficult to apply for large size combinational optimization problems. This problem was solved by Inverse function Delay-Less (IDL) model in combinational optimization problems. But learning performance of IDL model has not been discussed yet. This study is to build a hierarchical network using by IDL model, and we derive back propagation learning with IDL model.
Keyword (in Japanese) (See Japanese page) 
(in English) Neural network / Hierarchical network / Inverse function / Back propagation learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 383, NLP2013-142, pp. 73-76, Jan. 2014.
Paper # NLP2013-142 
Date of Issue 2014-01-14 (NLP) 
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee NLP  
Conference Date 2014-01-21 - 2014-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Niseko Park Hotel 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NLP 
Conference Code 2014-01-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Neural Network learning using Inverse Function Delayless Model 
Sub Title (in English)  
Keyword(1) Neural network  
Keyword(2) Hierarchical network  
Keyword(3) Inverse function  
Keyword(4) Back propagation learning  
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1st Author's Name Yuta Horiuchi  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Yoshihiro Hayakawa  
2nd Author's Affiliation Sendai National College of Technology (SNCT)
3rd Author's Name Shigeo Sato  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
4th Author's Name Koji Nakajima  
4th Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker
Date Time 2014-01-21 15:40:00 
Presentation Time 20 
Registration for NLP 
Paper # IEICE-NLP2013-142 
Volume (vol) IEICE-113 
Number (no) no.383 
Page pp.73-76 
#Pages IEICE-4 
Date of Issue IEICE-NLP-2014-01-14 


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