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| Presentation | 2013-03-13 13:45 Three-staged Neocognitron: Optimal Thereshold and Thinning-out of Cells {Chihiro Yamamoto, Isao Hayashi (Kansai Univ.), Kunihiko Fukushima (FLSI)  NC2012-143 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The neocognitron is a hierarchical multi-layered neural network capable of robust visual pattern recognition. In the neocognitron a number of modules, each of which consists of an S- and a C-cell layers, are connected in cascade. The conventional neocognitoron consisted of four stages of the modules. In this paper, we propose a new neocognitron consisting of three stages, and compares the recognition rate of the new neocognitron and the conveitional four staged neocognitoron. To reduce the computational cost, cells in each layer are thinned out. The thinning-out ratio at the intermediate stage of the three staged neocognitron is 3:1, instead of the 2:1 thinning-out ratio for the conventional four-staged neocognitoron. Computer simulation show that the recognition rate is improved by the three-staged neocognitron than by the four staged network. However, the total number of connections to S-cells in the network, which is proportional to computational cost, is still larger than that of the four-staged network even if the thinning-out ratio at the intermediate stage is increased to 3:1. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | visual pattern recognition / hierarchical neural network / three-staged neocognitron / thinning-out ratio / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 112, no. 480, NC2012-143, pp. 55-60, March 2013. | |
| Paper # | NC2012-143 | |
| Date of Issue | 2013-03-06 (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 | NC2012-143 |
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| Conference Information | |
| Committee | MBE NC |
| Conference Date | 2013-03-13 - 2013-03-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tamagawa University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2013-03-MBE-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Three-staged Neocognitron: Optimal Thereshold and Thinning-out of Cells |
| Sub Title (in English) | |
| Keyword(1) | visual pattern recognition |
| Keyword(2) | hierarchical neural network |
| Keyword(3) | three-staged neocognitron |
| Keyword(4) | thinning-out ratio |
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| 1st Author's Name | {Chihiro Yamamoto |
| 1st Author's Affiliation | Kansai University (Kansai Univ.) |
| 2nd Author's Name | Isao Hayashi |
| 2nd Author's Affiliation | Kansai University (Kansai Univ.) |
| 3rd Author's Name | Kunihiko Fukushima |
| 3rd Author's Affiliation | Fuzzy Logic Systems Institute (FLSI) |
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| Speaker | Author-1 |
| Date Time | 2013-03-13 13:45:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2012-143 |
| Volume (vol) | vol.112 |
| Number (no) | no.480 |
| Page | pp.55-60 |
| #Pages | 6 |
| Date of Issue | 2013-03-06 (NC) |
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