Presentation | 2011-03-09 On Classification Function of Radial Basis ART Maps Yoko ENOSAWA, Haruna MATSUSHITA, Toshimichi SAITO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we present a new application of radial basis adaptive resonance theory Maps (RB-ARTMAP) to classification problems. The RB-ARTMAP can classify a set of analog input data by circle-shaped categories. The RB-ARTMAP uses a new distance that measures the similarities of an input and categories. The RB-ARTMAP has an simpler learning algorithm than other ART systems. Using basic three benchmarks, we have confirmed that our algorithm is competitive at classification function with Fuzzy-ARTMAP and support vector machine (SVM). |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Adaptive Resonance Theory(ART) / clustering / Support Vector Machine(SVM) / supervised learning |
Paper # | NC2010-201 |
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Committee | NC |
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Conference Date | 2011/2/28(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | On Classification Function of Radial Basis ART Maps |
Sub Title (in English) | |
Keyword(1) | Adaptive Resonance Theory(ART) |
Keyword(2) | clustering |
Keyword(3) | Support Vector Machine(SVM) |
Keyword(4) | supervised learning |
1st Author's Name | Yoko ENOSAWA |
1st Author's Affiliation | Department of Electrical and Electronics Engineering, Hosei University() |
2nd Author's Name | Haruna MATSUSHITA |
2nd Author's Affiliation | Department of Reliability-based Information Systems Engineering, Kagawa University |
3rd Author's Name | Toshimichi SAITO |
3rd Author's Affiliation | Department of Electrical and Electronics Engineering, Hosei University |
Date | 2011-03-09 |
Paper # | NC2010-201 |
Volume (vol) | vol.110 |
Number (no) | 461 |
Page | pp.pp.- |
#Pages | 4 |
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