Presentation | 1994/6/17 Character recognition base on segment detection using neural network Takeharu Imai, Hikaru Mizutani, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Function approximation is a key issue in evaluating the computational ability of multilayer artificial neural networks. Most previous studies showed only the existence of approximating networks by non-constructive methods,contributing almost nothing to the construction of approximating networks and the specification of the number of hidden-layer units and the approximation error.In this study,a three-layer artificial neural network with sigmoidal hidden-layer units approximating a 2π-perio dic pthorder Lebesgue integrable function on Rm to Rn is constructed,specifying the number of hidden-layer units and approximation error.This result can easily be applied to the approximation to pth-order Lebesgue integrable functions defined on a product set of bounded intervals in Rm to Rn.This study gives a new step to evaluate the computational ability of multilayer artificial neural networks. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | neural network / character recognition / back propagation |
Paper # | NLP94-28 |
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Conference Information | |
Committee | NLP |
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Conference Date | 1994/6/17(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Character recognition base on segment detection using neural network |
Sub Title (in English) | |
Keyword(1) | neural network |
Keyword(2) | character recognition |
Keyword(3) | back propagation |
1st Author's Name | Takeharu Imai |
1st Author's Affiliation | Department of Electrical Engineering,Shonan Institute of Technology() |
2nd Author's Name | Hikaru Mizutani |
2nd Author's Affiliation | Department of Electrical Engineering,Shonan Institute of Technology |
Date | 1994/6/17 |
Paper # | NLP94-28 |
Volume (vol) | vol.94 |
Number (no) | 98 |
Page | pp.pp.- |
#Pages | 7 |
Date of Issue |