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Paper Abstract and Keywords
Presentation 2010-06-18 16:50
Study on Robust Training of Neural Networks using Gradient-based Algorithm with Improved Feeding-technique of Training Data
Toshikazu Abe, Yoshihiko Sakashita, Hiroshi Ninomiya (Shonan Inst. of Tech.) NLP2010-9 NC2010-9
Abstract (in Japanese) (See Japanese page) 
(in English) Various techniques based on the gradient descent method have been studied as the training algorithm for neural networks. Neural network training poses data-driven optimization problems in which the objective function involves the summation of loss terms over a set of data to be modeled. For a given set of training data，the gradient-based algorithms operate in one of two modes: stochastic (online) or batch. Recently，the robust training algorithm based on quasi-Newton method has been introduced improving the feeding-technique of training data. The algorithm combines the “stochastic (online)” mode with the “batch” one. In this paper the improved feeding-technique of training data is applied to the other gradient-based training algorithms. The convergence properties of the improved feeding-technique of training data to the gradient-based algorithms are studied through the computer simulations.
Keyword (in Japanese) (See Japanese page) 
(in English) neural networks / learning training algorithm / online training method / batch training method / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 82, NLP2010-9, pp. 57-62, June 2010.
Paper # NLP2010-9 
Date of Issue 2010-06-11 (NLP, 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 NLP2010-9 NC2010-9

Conference Information
Committee NC NLP IPSJ-BIO  
Conference Date 2010-06-18 - 2010-06-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning for bio-datamining 
Paper Information
Registration To NLP 
Conference Code 2010-06-NC-NLP-BIO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on Robust Training of Neural Networks using Gradient-based Algorithm with Improved Feeding-technique of Training Data 
Sub Title (in English)  
Keyword(1) neural networks  
Keyword(2) learning training algorithm  
Keyword(3) online training method  
Keyword(4) batch training method  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Toshikazu Abe  
1st Author's Affiliation Shonan Institute of Technology (Shonan Inst. of Tech.)
2nd Author's Name Yoshihiko Sakashita  
2nd Author's Affiliation Shonan Institute of Technology (Shonan Inst. of Tech.)
3rd Author's Name Hiroshi Ninomiya  
3rd Author's Affiliation Shonan Institute of Technology (Shonan Inst. of Tech.)
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Speaker Author-1 
Date Time 2010-06-18 16:50:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2010-9, NC2010-9 
Volume (vol) vol.110 
Number (no) no.82(NLP), no.83(NC) 
Page pp.57-62 
#Pages 6 
Date of Issue 2010-06-11 (NLP, NC) 

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