Paper Abstract and Keywords |
Presentation |
2017-10-07 15:40
Learning Characteristics of Self-Organizing Map with Adaptive Neighborhood Function Hikari Yoshimi, Hidetaka Ito, Hiroomi Hikawa (Kansai Univ.) NC2017-23 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper proposes a new neighborhood function for the self-organizing map(SOM).As the learning of the SOM progresses, the conventional neighborhood function shrinks its magnitude and neighborhood radius, and the learning stops after pre-defined training iterations.On the other hand, the proposed neighborhood function uses only the distance between the weight vector of the winner neuron and the input vector,then the magnitude and radius are computed according to this distance. Since the proposed neighborhood function is not a function of the learning iterations, it allows the SOM to continue its learning without time constraints. This feature is especially effective under the changing input vector space that arises in, e.g., online learning. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Neural network / Self-organizing map / Neighborhood function / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 231, NC2017-23, pp. 19-24, Oct. 2017. |
Paper # |
NC2017-23 |
Date of Issue |
2017-09-30 (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) |
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NC2017-23 |
Conference Information |
Committee |
MBE NC |
Conference Date |
2017-10-07 - 2017-10-07 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Osaka Electro-Communication University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
ME, general |
Paper Information |
Registration To |
NC |
Conference Code |
2017-10-MBE-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Learning Characteristics of Self-Organizing Map with Adaptive Neighborhood Function |
Sub Title (in English) |
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Neural network |
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Self-organizing map |
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Neighborhood function |
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1st Author's Name |
Hikari Yoshimi |
1st Author's Affiliation |
Kansai University (Kansai Univ.) |
2nd Author's Name |
Hidetaka Ito |
2nd Author's Affiliation |
Kansai University (Kansai Univ.) |
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Hiroomi Hikawa |
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Kansai University (Kansai Univ.) |
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Speaker |
Author-1 |
Date Time |
2017-10-07 15:40:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2017-23 |
Volume (vol) |
vol.117 |
Number (no) |
no.231 |
Page |
pp.19-24 |
#Pages |
6 |
Date of Issue |
2017-09-30 (NC) |
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