Detailed Information

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

SVM을 이용한 차량 주행 경로 예측

Full metadata record
DC Field Value Language
dc.contributor.author김대정-
dc.contributor.author강창묵-
dc.contributor.author정정주-
dc.date.accessioned2021-08-17T05:45:08Z-
dc.date.available2021-08-17T05:45:08Z-
dc.date.created2021-08-17-
dc.date.issued2016-05-19-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/123515-
dc.language한국어-
dc.language.isoko-
dc.publisher한국자동차공학회-
dc.titleSVM을 이용한 차량 주행 경로 예측-
dc.title.alternativeObject Vehicle Driving Path Prediction using Support Vector Machine-
dc.typeConference-
dc.contributor.affiliatedAuthor정정주-
dc.identifier.bibliographicCitation2016 한국자동차공학회 춘계학술대회, pp.1081 - 1082-
dc.relation.isPartOf2016 한국자동차공학회 춘계학술대회-
dc.relation.isPartOf2016 한국자동차공학회 춘계학술대회-
dc.citation.title2016 한국자동차공학회 춘계학술대회-
dc.citation.startPage1081-
dc.citation.endPage1082-
dc.citation.conferencePlaceKO-
dc.citation.conferencePlace라마다프라자 제주호텔-
dc.citation.conferenceDate2016-05-19-
dc.type.rimsCONF-
dc.description.journalClass2-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07124171-
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 전기공학전공 > 2. Conference Papers

qrcode

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

Altmetrics

Total Views & Downloads

BROWSE