| Paper Abstract and Keywords |
| Presentation |
2025-10-18 10:25
Complex Forward-Forward Algorithm Yuta Kobayashi, Takumi Nakamura, Yukari Yamauchi (Nihon Univ) NC2025-23 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Methods that do not use backpropagation have lower computational costs and can be deployed on edge devices. Therefore, research is being conducted on these methods as alternatives to backpropagation and for training on edge devices. Furthermore, learning methods that do not use backpropagation have biological plausibility. Therefore, they hold potential as a starting point for elucidating the mechanisms of the brain. However, these network structures are fundamentally fully connected and lack the complex network properties found in the brain. Therefore, this study proposes replacing the network structure of Forward-Forward Algorithm (FFA) with a complex network. By converting existing complex networks into bipartite graphs and applying them to the FFA, we analyze the impact of network structure on the FFA. Experimental results show that the proposed method achieves higher classification accuracy and faster convergence speed compared to FFA network structures with the same number of branches. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Forward-Forward Algorithm / Complex Networks / / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 125, no. 205, NC2025-23, pp. 7-11, Oct. 2025. |
| Paper # |
NC2025-23 |
| Date of Issue |
2025-10-11 (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 |
NC2025-23 |
| Conference Information |
| Committee |
NC MBE |
| Conference Date |
2025-10-18 - 2025-10-19 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Tohoku University |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
NC, ME, etc. |
| Paper Information |
| Registration To |
NC |
| Conference Code |
2025-10-NC-MBE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Complex Forward-Forward Algorithm |
| Sub Title (in English) |
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| Keyword(1) |
Forward-Forward Algorithm |
| Keyword(2) |
Complex Networks |
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| 1st Author's Name |
Yuta Kobayashi |
| 1st Author's Affiliation |
Nihon University (Nihon Univ) |
| 2nd Author's Name |
Takumi Nakamura |
| 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 |
2025-10-18 10:25:00 |
| Presentation Time |
25 minutes |
| Registration for |
NC |
| Paper # |
NC2025-23 |
| Volume (vol) |
vol.125 |
| Number (no) |
no.205 |
| Page |
pp.7-11 |
| #Pages |
5 |
| Date of Issue |
2025-10-11 (NC) |