DC Field | Value | Language |
---|---|---|
dc.contributor.author | CHO, SB | ko |
dc.contributor.author | Kim, JinHyung | ko |
dc.date.accessioned | 2013-02-25T00:16:38Z | - |
dc.date.available | 2013-02-25T00:16:38Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 1992-05 | - |
dc.identifier.citation | PATTERN RECOGNITION LETTERS, v.13, no.5, pp.309 - 313 | - |
dc.identifier.issn | 0167-8655 | - |
dc.identifier.uri | http://hdl.handle.net/10203/58331 | - |
dc.description.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. | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.subject | MULTISTAGE | - |
dc.title | A 2-STAGE CLASSIFICATION SCHEME WITH BACKPROPAGATION NEURAL NETWORK CLASSIFIERS | - |
dc.type | Article | - |
dc.identifier.wosid | A1992HY27500002 | - |
dc.identifier.scopusid | 2-s2.0-38249012544 | - |
dc.type.rims | ART | - |
dc.citation.volume | 13 | - |
dc.citation.issue | 5 | - |
dc.citation.beginningpage | 309 | - |
dc.citation.endingpage | 313 | - |
dc.citation.publicationname | PATTERN RECOGNITION LETTERS | - |
dc.contributor.localauthor | Kim, JinHyung | - |
dc.contributor.nonIdAuthor | CHO, SB | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | BACKPROPAGATION CLASSIFIER | - |
dc.subject.keywordAuthor | 2-STAGE CLASSIFICATION | - |
dc.subject.keywordPlus | MULTISTAGE | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.