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Paper Abstract and Keywords
Presentation 2014-01-21 13:50
Solving Optimization Problems Using DS-net and IDL model
Yuto Watanabe (Tohoku Univ.), Yoshihiro Hayakawa (SNCT), Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2013-137
Abstract (in Japanese) (See Japanese page) 
(in English) The Inverse function DelayLess (IDL) model has been proposed as one of novel neural models. Since the IDL model can set the approximate unstable region in the output space due to the two effects of the acceleration function and the difference of the equation, it is an effective tool to avoid local minimum problems for the purpose of searching a best solution of combinatorial optimization problem(COP). However, the COP including a cost function, as typified by the Traveling Salesman Problem, required the higher order synapse connections, hence it was serious problem that both the number of synapse connections and calculation time increase rapidly. In this study, we tried to overcome these problems to use the DS-net which has a network with constraints terms and a cost term. Consequentially we achieved 100% success rate by avoiding local minima perfectly and also succeeded to make the calculation time significantly short.
Keyword (in Japanese) (See Japanese page) 
(in English) Neural Network / DS-net / Inverse Function Delayless Model / Combinatorial Optimization Problem / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 383, NLP2013-137, pp. 45-50, Jan. 2014.
Paper # NLP2013-137 
Date of Issue 2014-01-14 (NLP) 
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. (License 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) Solving Optimization Problems Using DS-net and IDL model 
Sub Title (in English)  
Keyword(1) Neural Network  
Keyword(2) DS-net  
Keyword(3) Inverse Function Delayless Model  
Keyword(4) Combinatorial Optimization Problem  
1st Author's Name Yuto Watanabe  
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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Date Time 2014-01-21 13:50:00 
Presentation Time 20 
Registration for NLP 
Paper # IEICE-NLP2013-137 
Volume (vol) IEICE-113 
Number (no) no.383 
Page pp.45-50 
#Pages IEICE-6 
Date of Issue IEICE-NLP-2014-01-14 

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