| Presentation | 2003/7/21 A review of research for Multi-layer perceptron Katsuyuki HAGIWARA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | After some efficient demonstrations of multi-layer perceptron have been shown in the late 1980's, it is an important tool in various applications, including image processing, speech recognition, time series prediction, control and data analysis. In this article, we try to give some reviews of the research related to function approximation, learning method and especially generalization in multi-layer perceptron. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Multi-layer perceptron / function approximation / learning / generalization / singular model |
| Paper # | NC2003-23 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2003/7/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| 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) | A review of research for Multi-layer perceptron |
| Sub Title (in English) | |
| Keyword(1) | Multi-layer perceptron |
| Keyword(2) | function approximation |
| Keyword(3) | learning |
| Keyword(4) | generalization |
| Keyword(5) | singular model |
| 1st Author's Name | Katsuyuki HAGIWARA |
| 1st Author's Affiliation | Nagoya Institute of Technology() |
| Date | 2003/7/21 |
| Paper # | NC2003-23 |
| Volume (vol) | vol.103 |
| Number (no) | 227 |
| Page | pp.pp.- |
| #Pages | 6 |
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