| Presentation | 2020-10-30 A Proposal of Self-Organizing Map Based on Attribute Information with Attenuate Rate Tetsuya Sato, Yukari Yamauti, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Self-organizing Maps(SOM) is a simple algorithm, has excellent clustering capabilities, and can create a nonlinear model. However, since SOM performs neighborhood learning based on the similarity with the best matching unit, nodes that belongs to same class are scattered on the competitive layer and affects around nodes. Therefore, nodes on boundaries between classes becomes unclear. So far, researchers have accumulated attribute value information using the attribute information of the input data during learning, and used it to control the degree of learning. In addition, in this paper the accumulated attribute value information is given an attenuate rate to reflect the latest learning results. In the experiment, we used handwritten numbers and verified the effectiveness with attenuate rate. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Self-Organizing Maps / Attribute Information / Attenuate Rate / Handwriting Recognition |
| Paper # | NC2020-23 |
| Date of Issue | 2020-10-22 (NC) |
| Conference Information | |
| Committee | MBE / NC / NLP / CAS |
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| Conference Date | 2020/10/29(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ME，NC，CAS，NLP |
| Chair | Takashi Watanabe(Tohoku Univ.) / Kazuyuki Samejima(Tamagawa Univ) / Kiyohisa Natsume(Kyushu Inst. of Tech.) / Yasuhiro Takashima(Univ. of Kitakyushu) |
| Vice Chair | Ryuhei Okuno(Setsunan Univ.) / Rieko Osu(Waseda Univ.) / Takuji Kosaka(Chukyo Univ.) / Hiroki Sato(Sony LSI Design) |
| Secretary | Ryuhei Okuno(Akita-noken) / Rieko Osu(NTT) / Takuji Kosaka(ATR) / Hiroki Sato(Kyushu Inst. of Tech.) |
| Assistant | Akihiro Karashima(Tohoku Inst. of Tech.) / Jun Akazawa(Meiji Univ. of Integrative Medicine) / Ken Takiyama(TUAT) / Nobuhiko Wagatsuma(Toho Univ.) / Toshikaza Samura(Yamaguchi Univ.) / Hideyuki Kato(Oita Univ.) / Motoi Yamaguchi(TECHNOPRO) / Yohei Nakamura(Hitachi) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing / Technical Committee on Nonlinear Problems / Technical Committee on Circuits and Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Proposal of Self-Organizing Map Based on Attribute Information with Attenuate Rate |
| Sub Title (in English) | |
| Keyword(1) | Self-Organizing Maps |
| Keyword(2) | Attribute Information |
| Keyword(3) | Attenuate Rate |
| Keyword(4) | Handwriting Recognition |
| 1st Author's Name | Tetsuya Sato |
| 1st Author's Affiliation | Nihon University(Nihon Univ.) |
| 2nd Author's Name | Yukari Yamauti |
| 2nd Author's Affiliation | Nihon University(Nihon Univ.) |
| Date | 2020-10-30 |
| Paper # | NC2020-23 |
| Volume (vol) | vol.120 |
| Number (no) | NC-216 |
| Page | pp.pp.77-82(NC), |
| #Pages | 6 |
| Date of Issue | 2020-10-22 (NC) |