Detailed Information

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

Development of Deep Learning based Self-adaptive Harmony Search

Full metadata record
DC Field Value Language
dc.contributor.authorKIM, Joong Hoon-
dc.date.accessioned2022-03-26T05:40:22Z-
dc.date.available2022-03-26T05:40:22Z-
dc.date.created2022-03-26-
dc.date.issued2022-03-23-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/139262-
dc.publisherSpringer-
dc.titleDevelopment of Deep Learning based Self-adaptive Harmony Search-
dc.title.alternativeDevelopment of Deep Learning based Self-adaptive Harmony Search-
dc.typeConference-
dc.contributor.affiliatedAuthorKIM, Joong Hoon-
dc.identifier.bibliographicCitation7th International Conference on Harmony search, Soft computing and Applications (ICHSA 2022)-
dc.relation.isPartOf7th International Conference on Harmony search, Soft computing and Applications (ICHSA 2022)-
dc.relation.isPartOfICHSA 2022-
dc.citation.title7th International Conference on Harmony search, Soft computing and Applications (ICHSA 2022)-
dc.citation.conferencePlaceKO-
dc.citation.conferencePlace온라인 발표로 진행-
dc.citation.conferenceDate2022-02-23-
dc.type.rimsCONF-
dc.description.journalClass1-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Civil, Environmental and Architectural Engineering > 2. Conference Papers

qrcode

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

Altmetrics

Total Views & Downloads

BROWSE