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dc.contributor.advisorPratt, David B.
dc.contributor.authorKwon, Augustine Jongik
dc.date.accessioned2013-12-10T18:05:02Z
dc.date.available2013-12-10T18:05:02Z
dc.date.issued2005-05
dc.identifier.urihttps://hdl.handle.net/11244/7771
dc.formatapplication/pdf
dc.languageen_US
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleInvestigation of a neural network methodology to predict transient performance in FMS
dc.contributor.committeeMemberBranson, Michael
dc.contributor.committeeMemberHagan, Martin
dc.contributor.committeeMemberKamath, Manjunath
osu.filenameKwon_okstate_0664D_1225.pdf
osu.accesstypeOpen Access
dc.type.genreDissertation
dc.type.materialText
dc.subject.keywordsflexible manufacturing
dc.subject.keywordsartificial neural networks
thesis.degree.disciplineIndustrial Engineering
thesis.degree.grantorOklahoma State University


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