Detailed Information

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

Prediction of behavior and stress distribution of mechanical structures via deep learning approach using convolutional neural network

Full metadata record
DC Field Value Language
dc.contributor.author김학성-
dc.date.accessioned2021-07-30T08:27:57Z-
dc.date.available2021-07-30T08:27:57Z-
dc.date.issued2020-11-06-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/7008-
dc.titlePrediction of behavior and stress distribution of mechanical structures via deep learning approach using convolutional neural network-
dc.typeConference-
dc.citation.conferenceNameAsia-Pacific Conference on Fracture and Strength (APCFS)-
Files in This Item
There are no files associated with this item.
Appears in
Collections
서울 공과대학 > 서울 기계공학부 > 2. Conference Papers

qrcode

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

Related Researcher

Researcher Kim, Hak Sung photo

Kim, Hak Sung
COLLEGE OF ENGINEERING (SCHOOL OF MECHANICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE