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The behavior of adaptive systems which employ genetic and correlation algorithms : technical report
dc.contributor.authorBagley, John Daniel.en_US
dc.date.accessioned2006-02-03T17:43:53Z
dc.date.available2006-02-03T17:43:53Z
dc.date.issued1967en_US
dc.identifierUMR0171en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/3354
dc.format.extent186 bytes
dc.format.extent263630 bytes
dc.format.extent3366 bytes
dc.format.extent321962 bytes
dc.format.extent12960670 bytes
dc.format.mimetypetext/plain
dc.format.mimetypetext/plain
dc.format.mimetypetext/plain
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.subjectArtificial intelligence.en_US
dc.subjectSimulation.en_US
dc.subjectGenetics -- Mathematical models.en_US
dc.titleThe behavior of adaptive systems which employ genetic and correlation algorithms : technical reporten_US
dc.typeTechnical Reporten_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/3354/5/bab0779.0001.001.pdfen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/3354/4/bab0779.0001.001.txten_US
dc.owningcollnameEngineering, College of - Technical Reports


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