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dc.contributor.authorRajagopalan, Jayendaren_US
dc.date.accessioned2014-03-14T21:43:31Z
dc.date.available2014-03-14T21:43:31Z
dc.date.issued1993en_US
dc.identifier.otheretd-08222009-040506en_US
dc.identifier.urihttp://hdl.handle.net/10919/44403
dc.format.mediumBTDen_US
dc.publisherVirginia Techen_US
dc.relation.haspartLD5655.V855_1993.R353.pdfen_US
dc.subjectMachine learning.en_US
dc.subject.lccLD5655.V855 1993.R353en_US
dc.titleSymbolic and connectionist machine learning techniques for short-term electric load forecastingen_US
dc.typeThesisen_US
dc.contributor.departmentElectrical Engineeringen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineElectrical Engineeringen_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-08222009-040506/en_US
dc.date.sdate2009-08-22en_US
dc.date.rdate2009-08-22
dc.date.adate2009-08-22en_US


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