Deep neural networks for gas concentration estimation and the effect of hyperparameter optimization on the estimation performance

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 217
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorJang, Hee-Deokko
dc.contributor.authorPark, JaeHyeonko
dc.contributor.authorNam, Hyunwooko
dc.contributor.authorChang, Dong Euiko
dc.date.accessioned2022-11-28T01:01:25Z-
dc.date.available2022-11-28T01:01:25Z-
dc.date.created2022-11-25-
dc.date.created2022-11-25-
dc.date.created2022-11-25-
dc.date.issued2022-11-
dc.identifier.citation22nd International Conference on Control, Automation and Systems (ICCAS)-
dc.identifier.urihttp://hdl.handle.net/10203/301054-
dc.languageEnglish-
dc.publisherInstitute of Control, Robotics, and Systems (ICROS)-
dc.titleDeep neural networks for gas concentration estimation and the effect of hyperparameter optimization on the estimation performance-
dc.typeConference-
dc.identifier.scopusid2-s2.0-85146561347-
dc.type.rimsCONF-
dc.citation.publicationname22nd International Conference on Control, Automation and Systems (ICCAS)-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationBEXCO, Busan-
dc.contributor.localauthorChang, Dong Eui-
dc.contributor.nonIdAuthorJang, Hee-Deok-
dc.contributor.nonIdAuthorNam, Hyunwoo-
Appears in Collection
EE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0