Presentation 1994/6/17
Character recognition base on segment detection using neural network
Takeharu Imai, Hikaru Mizutani,
PDF Download Page PDF download Page Link
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
Date of Issue

Conference Information
Committee NLP
Conference Date 1994/6/17(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Nonlinear Problems (NLP)
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