Paper Abstract and Keywords |
Presentation |
2016-01-29 15:50
Node-perturbation Learning for Soft-committee machine Kazuyuki Hara (Nihon Univ.), Kentaro Katahira (Nagoya Univ.) NC2015-66 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Node perturbation learning is a stochastic gradient descent method for neural networks. It estimates the gradient of the error surface by calculating a change of the performance of the perturbed output and that of not perturbed output.
It can apply to the problems where the objective function is not defined. In our previous study, we derived the dynamic property of node perturbation learning applied to many simple perceptrons and showed it's validation by using the statistical mechanics method. In this report, we explore the node perturbation learning applied to soft committee machine and analyze the dynamic property of the learning process. We then show the validity of proposed method by using computer simulations. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
node-perturbation learning / soft committee machine / on-line learning / perturbation / generalization error / statistical mechanics method / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 426, NC2015-66, pp. 49-54, Jan. 2016. |
Paper # |
NC2015-66 |
Date of Issue |
2016-01-21 (NC) |
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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NC2015-66 |
Conference Information |
Committee |
NC NLP |
Conference Date |
2016-01-28 - 2016-01-29 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kyushu Institute of Technology |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Implementation of Neuro Computing,Analysis and Modeling of Human Science, etc |
Paper Information |
Registration To |
NC |
Conference Code |
2016-01-NC-NLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Node-perturbation Learning for Soft-committee machine |
Sub Title (in English) |
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Keyword(1) |
node-perturbation learning |
Keyword(2) |
soft committee machine |
Keyword(3) |
on-line learning |
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perturbation |
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generalization error |
Keyword(6) |
statistical mechanics method |
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1st Author's Name |
Kazuyuki Hara |
1st Author's Affiliation |
Nihon University (Nihon Univ.) |
2nd Author's Name |
Kentaro Katahira |
2nd Author's Affiliation |
Nagoya University (Nagoya Univ.) |
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Speaker |
Author-1 |
Date Time |
2016-01-29 15:50:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2015-66 |
Volume (vol) |
vol.115 |
Number (no) |
no.426 |
Page |
pp.49-54 |
#Pages |
6 |
Date of Issue |
2016-01-21 (NC) |