Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

해석 가능한 기계학습 기반의 공압 실린더 최적 제어 파라미터 탐지

Full metadata record
DC Field Value Language
dc.contributor.authorJun-Geol Baek-
dc.date.accessioned2021-09-15T02:54:38Z-
dc.date.available2021-09-15T02:54:38Z-
dc.date.created2021-09-14-
dc.date.issued2021-07-02-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/126859-
dc.publisher한국신뢰성학회-
dc.title해석 가능한 기계학습 기반의 공압 실린더 최적 제어 파라미터 탐지-
dc.title.alternative해석 가능한 기계학습 기반의 공압 실린더 최적 제어 파라미터 탐지-
dc.typeConference-
dc.contributor.affiliatedAuthorJun-Geol Baek-
dc.identifier.bibliographicCitation한국신뢰성학회 2021 춘계학술대회-
dc.relation.isPartOf한국신뢰성학회 2021 춘계학술대회-
dc.relation.isPartOf한국신뢰성학회 2021 춘계학술대회-
dc.citation.title한국신뢰성학회 2021 춘계학술대회-
dc.citation.conferencePlaceKO-
dc.citation.conferencePlace제주KAL호텔-
dc.citation.conferenceDate2021-07-01-
dc.type.rimsCONF-
dc.description.journalClass2-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Industrial and Management Engineering > 2. Conference Papers

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Baek, Jun Geol photo

Baek, Jun Geol
공과대학 (산업경영공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE