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dc.contributor.authorMarkham, Ina Samantaen
dc.date.accessioned2014-03-14T21:14:09Zen
dc.date.available2014-03-14T21:14:09Zen
dc.date.issued1992en
dc.identifier.otheretd-06062008-170305en
dc.identifier.urihttp://hdl.handle.net/10919/38395en
dc.format.extentxiv, 184 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.isformatofOCLC# 26112430en
dc.relation.haspartLD5655.V856_1992.M375.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V856 1992.M375en
dc.subject.lcshNeural networks (Computer science)en
dc.subject.lcshRegression analysisen
dc.titleAn exploration of the robustness of traditional regression analysis versus analysis using backpropagation networksen
dc.typeDissertationen
dc.contributor.departmentManagement Scienceen
dc.description.degreePh. D.en
thesis.degree.namePh. D.en
thesis.degree.leveldoctoralen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplineManagement Scienceen
dc.type.dcmitypeTexten
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-06062008-170305/en
dc.date.sdate2008-06-06en
dc.date.rdate2008-06-06en
dc.date.adate2008-06-06en


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