Predicting 4D printing Factors based on Design of Experiment (DoE) and Machine Learning with Small Data

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dc.contributor.author김정환ko
dc.contributor.author윤용진ko
dc.date.accessioned2022-01-11T06:52:56Z-
dc.date.available2022-01-11T06:52:56Z-
dc.date.created2021-11-29-
dc.date.issued2021-10-13-
dc.identifier.citationInside 3D printing Conference & Expo-
dc.identifier.urihttp://hdl.handle.net/10203/291740-
dc.languageEnglish-
dc.publisherInside 3D printing Conference & Expo-
dc.titlePredicting 4D printing Factors based on Design of Experiment (DoE) and Machine Learning with Small Data-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameInside 3D printing Conference & Expo-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationKINTEX-
dc.contributor.localauthor윤용진-
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ME-Conference Papers(학술회의논문)
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