| Presentation | 2004/1/15 Improvement and application of a learning algorithm of an Adaptive Resonance Theory network Masahide OOKI, Hiroyuki TORIKAI, Toshimichi SAITO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The Adaptive Resonance Theory (ART) network is known to be able to classify and approximate a data set on a feature space. In this paper we consider an ART network which has an simplified learning rule. We analyze learning performance for parameter values. Also we consider an application of the network to an assignment problem of newspaper delivery stations. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Feature extraction / Adaptive Resonance Theory / Radial Basis ART / Assignment problem of newspaper delivery stations |
| Paper # | NLP2003-151 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2004/1/15(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (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 and application of a learning algorithm of an Adaptive Resonance Theory network |
| Sub Title (in English) | |
| Keyword(1) | Feature extraction |
| Keyword(2) | Adaptive Resonance Theory |
| Keyword(3) | Radial Basis ART |
| Keyword(4) | Assignment problem of newspaper delivery stations |
| 1st Author's Name | Masahide OOKI |
| 1st Author's Affiliation | Department of electronics, Electrical and Computer Engineering, Hosei University() |
| 2nd Author's Name | Hiroyuki TORIKAI |
| 2nd Author's Affiliation | Department of electronics, Electrical and Computer Engineering, Hosei University |
| 3rd Author's Name | Toshimichi SAITO |
| 3rd Author's Affiliation | Department of electronics, Electrical and Computer Engineering, Hosei University |
| Date | 2004/1/15 |
| Paper # | NLP2003-151 |
| Volume (vol) | vol.103 |
| Number (no) | 567 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |