File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

이영주

Lee, Young-Joo
Structural Reliability and Disaster Risk Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.conferencePlace KO -
dc.citation.conferencePlace 제주대학교 아라컨벤션홀 -
dc.citation.title 2019년 한국지진공학회 Workshop 및 학술발표회 -
dc.contributor.author 탁혜영 -
dc.contributor.author 서원호 -
dc.contributor.author 이영주 -
dc.date.accessioned 2024-01-31T23:40:03Z -
dc.date.available 2024-01-31T23:40:03Z -
dc.date.created 2020-01-04 -
dc.date.issued 2019-09-20 -
dc.identifier.bibliographicCitation 2019년 한국지진공학회 Workshop 및 학술발표회 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/79267 -
dc.publisher 한국지진공학회 -
dc.title.alternative System-Level Seismic Risk Assessment of Bridge Transportation Networks Using Artificial Neural Network Technique -
dc.title 인공신경망 기법을 활용한 도로망의 시스템 수준 지진 위험성 평가 -
dc.type Conference Paper -
dc.date.conferenceDate 2019-09-19 -

qrcode

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