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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)
Download PDF 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)  
Keyword(1) node-perturbation learning  
Keyword(2) soft committee machine  
Keyword(3) on-line learning  
Keyword(4) perturbation  
Keyword(5) generalization error  
Keyword(6) statistical mechanics method  
Keyword(7)  
Keyword(8)  
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) 

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