A Model for Pattern Recognition
Summary :
A simple model for pattern recognition is proposed, which can be approximated by a multilayer network. An application to handwritten character recognition is simulated and characters were recognized with an accuracy about 90%. Using this model enables the system to be simpler.
- Publication
- IEICE TRANSACTIONS on transactions Vol.E72-E No.8 pp.888-890
- Publication Date
- 1989/08/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Image Processing, Computer Graphics and Pattern Recognition
Authors
Keyword
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Xiao-yan ZHU, Yasuaki IWASE, Takashi JIMBO, Masayoshi UMENO, "A Model for Pattern Recognition" in IEICE TRANSACTIONS on transactions,
vol. E72-E, no. 8, pp. 888-890, August 1989, doi: .
Abstract: A simple model for pattern recognition is proposed, which can be approximated by a multilayer network. An application to handwritten character recognition is simulated and characters were recognized with an accuracy about 90%. Using this model enables the system to be simpler.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e72-e_8_888/_p
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@ARTICLE{e72-e_8_888,
author={Xiao-yan ZHU, Yasuaki IWASE, Takashi JIMBO, Masayoshi UMENO, },
journal={IEICE TRANSACTIONS on transactions},
title={A Model for Pattern Recognition},
year={1989},
volume={E72-E},
number={8},
pages={888-890},
abstract={A simple model for pattern recognition is proposed, which can be approximated by a multilayer network. An application to handwritten character recognition is simulated and characters were recognized with an accuracy about 90%. Using this model enables the system to be simpler.},
keywords={},
doi={},
ISSN={},
month={August},}
Copy
TY - JOUR
TI - A Model for Pattern Recognition
T2 - IEICE TRANSACTIONS on transactions
SP - 888
EP - 890
AU - Xiao-yan ZHU
AU - Yasuaki IWASE
AU - Takashi JIMBO
AU - Masayoshi UMENO
PY - 1989
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E72-E
IS - 8
JA - IEICE TRANSACTIONS on transactions
Y1 - August 1989
AB - A simple model for pattern recognition is proposed, which can be approximated by a multilayer network. An application to handwritten character recognition is simulated and characters were recognized with an accuracy about 90%. Using this model enables the system to be simpler.
ER -
English
