A two-stage classification scheme with backpropagation neural network classifiers

Sung Bae Cho; Jin H. Kim

doi:10.1016/0167-8655(92)90027-W

A two-stage classification scheme with backpropagation neural network classifiers

Sung Bae Cho, Jin H. Kim

College of Computing

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	309-313
Number of pages	5
Journal	Pattern Recognition Letters
Volume	13
Issue number	5
DOIs	https://doi.org/10.1016/0167-8655(92)90027-W
Publication status	Published - 1992 May

Bibliographical note

Funding Information:
This work w~,~ supported in part by a grant from the Korea Science and Engineering Foundation (KOSEF) and a grant from the Korea Advanced Institute of Science and Technology.

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

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10.1016/0167-8655(92)90027-W

Cite this

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title = "A two-stage classification scheme with backpropagation neural network classifiers",

abstract = "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.",

author = "Cho, {Sung Bae} and Kim, {Jin H.}",

note = "Funding Information: This work w~,~ supported in part by a grant from the Korea Science and Engineering Foundation (KOSEF) and a grant from the Korea Advanced Institute of Science and Technology.",

year = "1992",

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AU - Kim, Jin H.

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Y1 - 1992/5

N2 - 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.

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A two-stage classification scheme with backpropagation neural network classifiers

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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