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dc.contributor.author오세영-
dc.contributor.author송재명-
dc.date.accessioned2017-07-19T04:43:53Z-
dc.date.available2017-07-19T04:43:53Z-
dc.date.created2009-03-26-
dc.date.issued1990-01-
dc.identifier.issn0254-4172-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/33291-
dc.languageEnglish-
dc.publisher대한전기학회논문지-
dc.relation.isPartOfTRANSACTIONS OF THE KOREAN INSTITUTE OF ELECTRICAL ENGINEERS-
dc.titleA DYNAMICALLY RECONFIGURING BACKPROPAGATION NEURAL NETWORK AND ITS APPLICATION TO THE INVERSE KINEMATIC SOLUTION OF ROBOT MANIPULATORS-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.bibliographicCitationTRANSACTIONS OF THE KOREAN INSTITUTE OF ELECTRICAL ENGINEERS, v.39, no.9, pp.98-
dc.citation.number9-
dc.citation.startPage98-
dc.citation.titleTRANSACTIONS OF THE KOREAN INSTITUTE OF ELECTRICAL ENGINEERS-
dc.citation.volume39-
dc.contributor.affiliatedAuthor오세영-
dc.description.journalClass2-
dc.description.journalClass2-

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오세영OH, SE YOUNG
Dept of Electrical Enginrg
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