Presentation | 2022-03-02 A Study on Improvement of Recognition Accuracy and Speed-up of SOM-based Classification System Shun Tasaka, Hiroomi Hikawa, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper discusses a new type of image classifier called class-SOM, which is based on self-organizing map (SOM). The class-SOM is made of multiple SOMs, each of which is trained with the same class images. Then the SOMs in the class-SOM are replaced with hierarchical SOMs. Since the hierarchical SOM is made of the smaller SOMs, the learning time is expected to be shortened. The proposed system was implemented using multithreading. Experiments with Fashion-MNIST revealed that the proposed classifier provided 83.0% of accuracy with 168 second of training time. Meanwhile the conventional $8 times 8$~SOM-Hebb classifier required 1575 second for training and provided 71.44% accuracy. Accuracy of the classification was finally tuned up to be 85.82%. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Self-Organizing Map / Neural Network / Machine Learning / Classification Systems / Image Recognition |
Paper # | NC2021-46 |
Date of Issue | 2022-02-23 (NC) |
Conference Information | |
Committee | MBE / NC |
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Conference Date | 2022/3/2(3days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Online |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Ryuhei Okuno(Setsunan Univ.) / Rieko Osu(Waseda Univ.) |
Vice Chair | Junichi Hori(Niigata Univ.) / Hiroshi Yamakawa(Univ of Tokyo) |
Secretary | Junichi Hori(Osaka Electro-Communication Univ) / Hiroshi Yamakawa(ATR) |
Assistant | Jun Akazawa(Meiji Univ. of Integrative Medicine) / Emi Yuda(Tohoku Univ) / Nobuhiko Wagatsuma(Toho Univ.) / Tomoki Kurikawa(KMU) |
Paper Information | |
Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study on Improvement of Recognition Accuracy and Speed-up of SOM-based Classification System |
Sub Title (in English) | |
Keyword(1) | Self-Organizing Map |
Keyword(2) | Neural Network |
Keyword(3) | Machine Learning |
Keyword(4) | Classification Systems |
Keyword(5) | Image Recognition |
1st Author's Name | Shun Tasaka |
1st Author's Affiliation | Kansai University(Kansai Univ.) |
2nd Author's Name | Hiroomi Hikawa |
2nd Author's Affiliation | Kansai University(Kansai Univ.) |
Date | 2022-03-02 |
Paper # | NC2021-46 |
Volume (vol) | vol.121 |
Number (no) | NC-390 |
Page | pp.pp.1-4(NC), |
#Pages | 4 |
Date of Issue | 2022-02-23 (NC) |