Paper Abstract and Keywords |
Presentation |
2016-05-26 14:50
Decreasing Gradient of Sigmoid Functions in Back Propagation of Feed-Forward Neural Netowork Shinaburo Kittaka, Yoko Uwate, Nishio Yoshihumi (Tokushima Univ.) NLP2016-5 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Our study is about the learning method of feed-forward neural network. Generally, the method of improvingitslearningisfocusedonlearningrateandmomentterm. Wefocusonsigmoidfunctions. Sigmoidfunctions are used for converting input signal into output signal and adjusting connection weight of learning in feed-forward neural network. We change gradient of sigmoid functions and investigate the effect of our method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Neural Network / Feed-Forward Neural Network / Sigmoid functions / Back propagation / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 63, NLP2016-5, pp. 25-28, May 2016. |
Paper # |
NLP2016-5 |
Date of Issue |
2016-05-19 (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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NLP2016-5 |
Conference Information |
Committee |
NLP |
Conference Date |
2016-05-26 - 2016-05-27 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kochi Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Nonlinear Problems, etc. |
Paper Information |
Registration To |
NLP |
Conference Code |
2016-05-NLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Decreasing Gradient of Sigmoid Functions in Back Propagation of Feed-Forward Neural Netowork |
Sub Title (in English) |
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Keyword(1) |
Neural Network |
Keyword(2) |
Feed-Forward Neural Network |
Keyword(3) |
Sigmoid functions |
Keyword(4) |
Back propagation |
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1st Author's Name |
Shinaburo Kittaka |
1st Author's Affiliation |
Tokushima University (Tokushima Univ.) |
2nd Author's Name |
Yoko Uwate |
2nd Author's Affiliation |
Tokushima University (Tokushima Univ.) |
3rd Author's Name |
Nishio Yoshihumi |
3rd Author's Affiliation |
Tokushima University (Tokushima Univ.) |
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Speaker |
Author-1 |
Date Time |
2016-05-26 14:50:00 |
Presentation Time |
25 minutes |
Registration for |
NLP |
Paper # |
NLP2016-5 |
Volume (vol) |
vol.116 |
Number (no) |
no.63 |
Page |
pp.25-28 |
#Pages |
4 |
Date of Issue |
2016-05-19 (NLP) |
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