Presentation | 2002/3/12 Additional Learnable Neocognitron Katsuyoshi YANAGAWA, Kunihiko FUKUSHIMA, Toshinobu YOSHIDA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We often want to extend pattern recognition neural network. In this paper, we call the method for learning some new pattern to extend already made neural network "additional learning". Because of introduction of new learning rule to neocognitron, this model is able to additional learn. And this model is able to learn while it recognize the pattern. We call this method for learning "serial learning". In this paper, we propose such additional learnable model, and prove this model can (1)serial learn, (2)additional learn unknown category. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | additional learning / serial learning / neocognitron / learning rule / pattern recognition / handwriting recognition |
Paper # | NC2001-176 |
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Committee | NC |
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Conference Date | 2002/3/12(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) | Additional Learnable Neocognitron |
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Keyword(1) | additional learning |
Keyword(2) | serial learning |
Keyword(3) | neocognitron |
Keyword(4) | learning rule |
Keyword(5) | pattern recognition |
Keyword(6) | handwriting recognition |
1st Author's Name | Katsuyoshi YANAGAWA |
1st Author's Affiliation | Faculty of Electro-Communications, The University of Electro-Communications() |
2nd Author's Name | Kunihiko FUKUSHIMA |
2nd Author's Affiliation | Katayanagi Advanced Research Laboratories, Tokyo University of Technology |
3rd Author's Name | Toshinobu YOSHIDA |
3rd Author's Affiliation | Faculty of Electro-Communications, The University of Electro-Communications |
Date | 2002/3/12 |
Paper # | NC2001-176 |
Volume (vol) | vol.101 |
Number (no) | 736 |
Page | pp.pp.- |
#Pages | 8 |
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