Presentation | 2006-03-21 Improvement of Fuzzy ARTMAP by Controlling Match Tracking Kentaro NOMURA, Takeshi KAMIO, Hisato FUJISAKA, Kazuhisa HAEIWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Adaptive resonance theory neural network (ART) is an unsupervised learning system that can generate and grow the recognition categories based on the similarity between inputs and memories. In contrast, ARTMAP is a supervised learning system. If sample data contain a large amount of noise, ARTMAP synthesized by the conventional learning methods increases categories rapidly. As a result, the calculation cost increases and the recognition performance decreases. Moreover, we have confirmed that match tracking may generate categories unnecessarily. In this report, we propose a novel learning method to control match tracking appropriately. Finally, it is confirmed by simulations that our method has good performances. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Adaptive Resonance Theory / Fuzzy ART / Fuzzy ARTMAP / Match Tracking |
Paper # | NLP2005-154 |
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Conference Information | |
Committee | NLP |
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Conference Date | 2006/3/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Improvement of Fuzzy ARTMAP by Controlling Match Tracking |
Sub Title (in English) | |
Keyword(1) | Adaptive Resonance Theory |
Keyword(2) | Fuzzy ART |
Keyword(3) | Fuzzy ARTMAP |
Keyword(4) | Match Tracking |
1st Author's Name | Kentaro NOMURA |
1st Author's Affiliation | Hiroshima City University() |
2nd Author's Name | Takeshi KAMIO |
2nd Author's Affiliation | Hiroshima City University |
3rd Author's Name | Hisato FUJISAKA |
3rd Author's Affiliation | Hiroshima City University |
4th Author's Name | Kazuhisa HAEIWA |
4th Author's Affiliation | Hiroshima City University |
Date | 2006-03-21 |
Paper # | NLP2005-154 |
Volume (vol) | vol.105 |
Number (no) | 676 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |