Paper Abstract and Keywords |
Presentation |
2009-11-14 14:45
Effect of Piecewise Linear Function on Maximum-Flow Neural Network Masatoshi Sato (Sophia Univ), Hisashi Aomori (Tokyo Univ. of Science), Mamoru Tanaka (Sophia Univ) NLP2009-124 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In our previous research, the Maximum-Flow Neural Network (MF-NN) was proposed, and we showed that the MF-NN is possible to solve any maximum-flow problems. For application to the maximum-flow algorithm, the sigmoidal function $f(x)$ is applied as a nonlinear function having saturation characteristic. However, the sigmoidal function never converges $f(x)=0, 1$ which is vital values as the maximum-flow algorithm.
In this research, we propose novel MF-NN using piecewise linear function for improving those problems. Moreover, this novel method is possible to considerably reduce a calculation cost. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Maximum flow problem / Neural network / / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 109, no. 269, NLP2009-124, pp. 237-242, Nov. 2009. |
Paper # |
NLP2009-124 |
Date of Issue |
2009-11-04 (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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NLP2009-124 |
Conference Information |
Committee |
NLP |
Conference Date |
2009-11-11 - 2009-11-14 |
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(See Japanese page) |
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NLP |
Conference Code |
2009-11-NLP |
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Japanese |
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(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Effect of Piecewise Linear Function on Maximum-Flow Neural Network |
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Maximum flow problem |
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Neural network |
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1st Author's Name |
Masatoshi Sato |
1st Author's Affiliation |
Sophia University (Sophia Univ) |
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Hisashi Aomori |
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Tokyo University of Science (Tokyo Univ. of Science) |
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Mamoru Tanaka |
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Sophia University (Sophia Univ) |
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Speaker |
Author-1 |
Date Time |
2009-11-14 14:45:00 |
Presentation Time |
20 minutes |
Registration for |
NLP |
Paper # |
NLP2009-124 |
Volume (vol) |
vol.109 |
Number (no) |
no.269 |
Page |
pp.237-242 |
#Pages |
6 |
Date of Issue |
2009-11-04 (NLP) |
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