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| Presentation | 2023-03-15 10:55 Proposal for Mini-Batch Learning in Clustering V-SOINN Tetsuya Komura, Rintaro Funada, Yukari Yamauchi (Nihon Univ.)  NC2022-111 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Yamazaki et al. proposed a learning method called Self-Organizing Incremental Neural Network (SOINN). This method is an online method that dynamically constructs the network. However, SOINN does not stabilize learning results because the network structure changes depending on the input order. In addition, the performance of SOINN is low for high-dimensional data. Therefore, in this study, we attempt to stabilize the learning results and improve the accuracy by utilizing V-SOINN, which can transform high-dimensional data into a low-dimensional space while preserving the topology, and by incorporating mini-batch learning into SOINN. In the experiments, we compare the discrimination rate and the number of nodes on Optdigits and MNIST character recognition problems to confirm the effectiveness of the proposed method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Self-Organizing Incremental Neural Network / V-SOINN / Mini-batch learning / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 425, NC2022-111, pp. 109-112, March 2023. | |
| Paper # | NC2022-111 | |
| Date of Issue | 2023-03-06 (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) | |
| Download PDF | NC2022-111 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2023-03-13 - 2023-03-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | The Univ. of Electro-Communications |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Brain architecture, General |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2023-03-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Proposal for Mini-Batch Learning in Clustering V-SOINN |
| Sub Title (in English) | |
| Keyword(1) | Self-Organizing Incremental Neural Network |
| Keyword(2) | V-SOINN |
| Keyword(3) | Mini-batch learning |
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| 1st Author's Name | Tetsuya Komura |
| 1st Author's Affiliation | Nihon University (Nihon Univ.) |
| 2nd Author's Name | Rintaro Funada |
| 2nd Author's Affiliation | Nihon University (Nihon Univ.) |
| 3rd Author's Name | Yukari Yamauchi |
| 3rd Author's Affiliation | Nihon University (Nihon Univ.) |
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| Speaker | Author-1 |
| Date Time | 2023-03-15 10:55:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2022-111 |
| Volume (vol) | vol.122 |
| Number (no) | no.425 |
| Page | pp.109-112 |
| #Pages | 4 |
| Date of Issue | 2023-03-06 (NC) |
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