Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2008-06-27 15:35
GA-based geometrical learning of binary neural networks and its generalization capability
Syuhei Shimada, Hidehiro Nakano, Arata Miyauchi (Musashi Inst. Tech.) NC2008-27
Abstract (in Japanese) (See Japanese page) 
(in English) GA-based geometrical learning of Binary Neural Network (BNN) is discussed in this paper.
To apply BNN to the multi class separation problems, we propose two learning methods for multi bit output BNN.
The first method learns the teacher signals corresponding to each class in parallel.
The second method learns them seqencially.
Performing numerical experiments for a basic multi class separation problem,
the leaning performances of the generalization capability and the number of hidden-layer neurons in each method are compared.
Keyword (in Japanese) (See Japanese page) 
(in English) Binary Neural Network / Genetic algorithm / Supervised learning / Geometrical learning / Generalization capability / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 101, NC2008-27, pp. 79-84, June 2008.
Paper # NC2008-27 
Date of Issue 2008-06-19 (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 NC2008-27

Conference Information
Committee NC NLP  
Conference Date 2008-06-26 - 2008-06-27 
Place (in Japanese) (See Japanese page) 
Place (in English) University of the Ryukyus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning Approach to Biodata Mining and Nonlinearity in Biological Phenomena, and General 
Paper Information
Registration To NC 
Conference Code 2008-06-NC-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) GA-based geometrical learning of binary neural networks and its generalization capability 
Sub Title (in English)  
Keyword(1) Binary Neural Network  
Keyword(2) Genetic algorithm  
Keyword(3) Supervised learning  
Keyword(4) Geometrical learning  
Keyword(5) Generalization capability  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Syuhei Shimada  
1st Author's Affiliation Musashi Institute of Technology (Musashi Inst. Tech.)
2nd Author's Name Hidehiro Nakano  
2nd Author's Affiliation Musashi Institute of Technology (Musashi Inst. Tech.)
3rd Author's Name Arata Miyauchi  
3rd Author's Affiliation Musashi Institute of Technology (Musashi Inst. Tech.)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2008-06-27 15:35:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2008-27 
Volume (vol) vol.108 
Number (no) no.101 
Page pp.79-84 
#Pages 6 
Date of Issue 2008-06-19 (NC) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan