Q-러닝 기반의 선박의 최적 경로 생성

DC Field Value Language
dc.contributor.author Lee, Hyeong Tak -
dc.contributor.author Kim, Min Kyu -
dc.contributor.author Yang, Hyun -
dc.date.accessioned 2023-05-30T03:30:31Z -
dc.date.available 2023-05-30T03:30:31Z -
dc.date.created 2023-05-08 -
dc.date.issued 2023-05-03 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/44284 -
dc.description.uri 2 -
dc.language Korean -
dc.publisher 한국해양과학기술협의회 -
dc.relation.isPartOf 2023년도 한국해양과학기술협의회 춘계공동학술대회 논문집 -
dc.title Q-러닝 기반의 선박의 최적 경로 생성 -
dc.title.alternative Generation of Ship's Optimal Route based on Q-Learning -
dc.type Conference -
dc.citation.conferenceDate 2023-05-02 -
dc.citation.conferencePlace KO -
dc.citation.conferencePlace 부산 BEXCO -
dc.citation.endPage 161 -
dc.citation.startPage 160 -
dc.citation.title 2023년도 한국해양과학기술협의회 춘계공동학술대회 (한국항해항만학회) -
dc.contributor.alternativeName 이형탁 -
dc.contributor.alternativeName 김민규 -
dc.identifier.bibliographicCitation 2023년도 한국해양과학기술협의회 춘계공동학술대회 (한국항해항만학회), pp.160 - 161 -
dc.description.journalClass 2 -
Appears in Collections:
Marine Industry Research Division > Maritime ICT & Mobility Research Department > 2. Conference Papers
Marine Digital Resources Department > Korea Ocean Satellite Center > 2. Conference Papers
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse