DSpace at KIST: Geometric feature recognition directly from scanned points using artificial neural networks

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DC Field	Value	Language
dc.contributor.author	전용태	-
dc.contributor.author	박세형	-
dc.date.accessioned	2024-01-21T14:01:25Z	-
dc.date.available	2024-01-21T14:01:25Z	-
dc.date.created	2022-01-10	-
dc.date.issued	2000-06	-
dc.identifier.issn	1225-9071	-
dc.identifier.uri	https://pubs.kist.re.kr/handle/201004/141319	-
dc.publisher	한국정밀공학회	-
dc.title	Geometric feature recognition directly from scanned points using artificial neural networks	-
dc.title.alternative	신경회로망을 이용한 측정 점으로부터 특징형상 인식	-
dc.type	Article	-
dc.description.journalClass	2	-
dc.identifier.bibliographicCitation	한국정밀공학회지 = Journal of the Korean Society of Precision Engineering, v.17, no.6, pp.176 - 184	-
dc.citation.title	한국정밀공학회지 = Journal of the Korean Society of Precision Engineering	-
dc.citation.volume	17	-
dc.citation.number	6	-
dc.citation.startPage	176	-
dc.citation.endPage	184	-
dc.subject.keywordAuthor	reverse engineering	-
dc.subject.keywordAuthor	feature	-
dc.subject.keywordAuthor	artificial neural networks	-
dc.subject.keywordAuthor	역 공학	-
dc.subject.keywordAuthor	특징형상	-
dc.subject.keywordAuthor	신경회로망	-

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