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 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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NLP2013-142 |
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) |
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Neural network |
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Hierarchical network |
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Inverse function |
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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 |
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Tohoku University (Tohoku Univ.) |
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Speaker |
Author-1 |
Date Time |
2014-01-21 15:40:00 |
Presentation Time |
20 minutes |
Registration for |
NLP |
Paper # |
NLP2013-142 |
Volume (vol) |
vol.113 |
Number (no) |
no.383 |
Page |
pp.73-76 |
#Pages |
4 |
Date of Issue |
2014-01-14 (NLP) |
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