Detailed Information

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

Addressing Hardware Imperfections in Optical Neural Networks Based on a Machine Learning-Driven Self-Correction Mechanism

Full metadata record
DC Field Value Language
dc.contributor.author박원일-
dc.date.accessioned2025-01-08T03:00:17Z-
dc.date.available2025-01-08T03:00:17Z-
dc.date.issued2024-11-20-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/204873-
dc.titleAddressing Hardware Imperfections in Optical Neural Networks Based on a Machine Learning-Driven Self-Correction Mechanism-
dc.typeConference-
dc.citation.conferenceNameICINCO 2024-
dc.citation.conferencePlace포르투갈 포르투-
Files in This Item
There are no files associated with this item.
Appears in
Collections
서울 공과대학 > 서울 신소재공학부 > 2. Conference Papers

qrcode

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

Related Researcher

Researcher Park, Won Il photo

Park, Won Il
COLLEGE OF ENGINEERING (SCHOOL OF MATERIALS SCIENCE AND ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE