A two-stage classification scheme with backpropagation neural network classifiers

Sung Bae Cho, Jin H. Kim

Research output: Contribution to journalArticlepeer-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 languageEnglish
Pages (from-to)309-313
Number of pages5
JournalPattern Recognition Letters
Volume13
Issue number5
DOIs
Publication statusPublished - 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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