Paper Abstract and Keywords |
Presentation |
2020-10-30 15:45
A Proposal of Self-Organizing Map Based on Attribute Information with Attenuate Rate Tetsuya Sato, Yukari Yamauti (Nihon Univ.) NC2020-23 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Self-organizing Maps(SOM) is a simple algorithm, has excellent clustering capabilities, and can create a nonlinear model. However, since SOM performs neighborhood learning based on the similarity with the best matching unit, nodes that belongs to same class are scattered on the competitive layer and affects around nodes. Therefore, nodes on boundaries between classes becomes unclear. So far, researchers have accumulated attribute value information using the attribute information of the input data during learning, and used it to control the degree of learning. In addition, in this paper the accumulated attribute value information is given an attenuate rate to reflect the latest learning results. In the experiment, we used handwritten numbers and verified the effectiveness with attenuate rate. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Self-Organizing Maps / Attribute Information / Attenuate Rate / Handwriting Recognition / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 216, NC2020-23, pp. 77-82, Oct. 2020. |
Paper # |
NC2020-23 |
Date of Issue |
2020-10-22 (NC) |
ISSN |
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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NC2020-23 |
Conference Information |
Committee |
MBE NC NLP CAS |
Conference Date |
2020-10-29 - 2020-10-30 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
ME,NC,CAS,NLP |
Paper Information |
Registration To |
NC |
Conference Code |
2020-10-MBE-NC-NLP-CAS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Proposal of Self-Organizing Map Based on Attribute Information with Attenuate Rate |
Sub Title (in English) |
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Self-Organizing Maps |
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Attribute Information |
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Attenuate Rate |
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Handwriting Recognition |
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1st Author's Name |
Tetsuya Sato |
1st Author's Affiliation |
Nihon University (Nihon Univ.) |
2nd Author's Name |
Yukari Yamauti |
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Nihon University (Nihon Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-10-30 15:45:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2020-23 |
Volume (vol) |
vol.120 |
Number (no) |
no.216 |
Page |
pp.77-82 |
#Pages |
6 |
Date of Issue |
2020-10-22 (NC) |
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