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Paper Abstract and Keywords
Presentation 2011-01-24 09:30
Parameterized online quasi-Newton Training Algorithm for Feedforward Neural Networks
Hiroshi Ninomiya (SIT) NLP2010-125 NC2010-89
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes a new gradient based technique for training of feedforward neural networks. Recently, improved online quasi-Newton method was developed for neural network training improving feeding method of training data. This paper proposes a novel training algorithm based on the online quasi-Newton in which the feeding method of training data is parameterized. Furthermore, an analogy between the proposed algorithm and Langevin one is considered. The proposed algorithm is employed for robust neural network training purpose. Neural network training for some benchmark problems is presented to demonstrate the proposed algorithm. The proposed algorithm achieves more accurate and robust training results than the other quasi-Newton based training algorithms.
Keyword (in Japanese) (See Japanese page) 
(in English) feedforward neural networks / quasi-Newton method / online gradient training method / batch gradient training method / Langevin algorithm / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 387, NLP2010-125, pp. 1-6, Jan. 2011.
Paper # NLP2010-125 
Date of Issue 2011-01-17 (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 NLP2010-125 NC2010-89

Conference Information
Committee NC NLP  
Conference Date 2011-01-24 - 2011-01-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokakido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLP 
Conference Code 2011-01-NC-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Parameterized online quasi-Newton Training Algorithm for Feedforward Neural Networks 
Sub Title (in English)  
Keyword(1) feedforward neural networks  
Keyword(2) quasi-Newton method  
Keyword(3) online gradient training method  
Keyword(4) batch gradient training method  
Keyword(5) Langevin algorithm  
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1st Author's Name Hiroshi Ninomiya  
1st Author's Affiliation Shonan Institute of Technology (SIT)
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Speaker Author-1 
Date Time 2011-01-24 09:30:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2010-125, NC2010-89 
Volume (vol) vol.110 
Number (no) no.387(NLP), no.388(NC) 
Page pp.1-6 
#Pages 6 
Date of Issue 2011-01-17 (NLP, NC) 

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