Chinese character classification using an adaptive resonance network

Pattern Recognition

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Main Authors: Gan, K.W., Lua, K.T.
Other Authors: INFORMATION SYSTEMS & COMPUTER SCIENCE
Format: Article
Published: 2014
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/99216
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-992162015-01-16T15:51:58Z Chinese character classification using an adaptive resonance network Gan, K.W. Lua, K.T. INFORMATION SYSTEMS & COMPUTER SCIENCE Adaptive Resonance Theory Artificial neural network Chinese character classification Unsupervised learning Pattern Recognition 25 8 877-882 PTNRA 2014-10-27T06:01:49Z 2014-10-27T06:01:49Z 1992-08 Article Gan, K.W.,Lua, K.T. (1992-08). Chinese character classification using an adaptive resonance network. Pattern Recognition 25 (8) : 877-882. ScholarBank@NUS Repository. 00313203 http://scholarbank.nus.edu.sg/handle/10635/99216 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
topic Adaptive Resonance Theory
Artificial neural network
Chinese character classification
Unsupervised learning
spellingShingle Adaptive Resonance Theory
Artificial neural network
Chinese character classification
Unsupervised learning
Gan, K.W.
Lua, K.T.
Chinese character classification using an adaptive resonance network
description Pattern Recognition
author2 INFORMATION SYSTEMS & COMPUTER SCIENCE
author_facet INFORMATION SYSTEMS & COMPUTER SCIENCE
Gan, K.W.
Lua, K.T.
format Article
author Gan, K.W.
Lua, K.T.
author_sort Gan, K.W.
title Chinese character classification using an adaptive resonance network
title_short Chinese character classification using an adaptive resonance network
title_full Chinese character classification using an adaptive resonance network
title_fullStr Chinese character classification using an adaptive resonance network
title_full_unstemmed Chinese character classification using an adaptive resonance network
title_sort chinese character classification using an adaptive resonance network
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/99216
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