A 2-STAGE CLASSIFICATION SCHEME WITH BACKPROPAGATION NEURAL NETWORK CLASSIFIERS

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This paper introduces backpropagation neural network as a classifier with some practical considerations, and proposes a two-stage classification scheme based on this classifier. A preliminary experiment with a large set of Hangul (Korean script) confirms the superiority relative to a single large neural network classifier.
Publisher
ELSEVIER SCIENCE BV
Issue Date
1992-05
Language
English
Article Type
Article
Keywords

MULTISTAGE

Citation

PATTERN RECOGNITION LETTERS, v.13, no.5, pp.309 - 313

ISSN
0167-8655
URI
http://hdl.handle.net/10203/58331
Appears in Collection
CS-Journal Papers(저널논문)
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