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dc.contributor.authorDing, Yingjiaen_US
dc.date.accessioned2014-03-14T21:51:02Z
dc.date.available2014-03-14T21:51:02Z
dc.date.issued1991-05-15en_US
dc.identifier.otheretd-12052009-020026en_US
dc.identifier.urihttp://hdl.handle.net/10919/46125
dc.description.abstractsee documenten_US
dc.format.mediumBTDen_US
dc.publisherVirginia Techen_US
dc.relation.haspartLD5655.V855_1991.D564.pdfen_US
dc.subjectKnowledge representation (Information theory)en_US
dc.subject.lccLD5655.V855 1991.D564en_US
dc.titleKnowledge retention with genetic algorithms by multiple levels of representationen_US
dc.typeThesisen_US
dc.contributor.departmentComputer Science and Applicationsen_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.disciplineComputer Science and Applicationsen_US
dc.contributor.committeechairNutter, Jane Terryen_US
dc.contributor.committeememberFox, Edward Alanen_US
dc.contributor.committeememberLee, John A. N.en_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-12052009-020026/en_US
dc.date.sdate2009-12-05en_US
dc.date.rdate2009-12-05
dc.date.adate2009-12-05en_US


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