the hybrid techniques  dnn mmbo  hlno  eho nn ga and nn for classification in rejection of faulty products with process model enhancement

dc.contributor.guide	S Ramamoorthy
dc.coverage.spatial
dc.creator.researcher	Rohithbhat C
dc.date.accessioned	2023-04-21T05:41:26Z
dc.date.available	2023-04-21T05:41:26Z
dc.date.awarded	2022
dc.date.completed	2022
dc.date.registered	2015
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	CD
dc.format.dimensions
dc.format.extent
dc.identifier.uri	http://hdl.handle.net/10603/478337
dc.language	English
dc.publisher.institution	Department of Computer Science and Engineering
dc.publisher.place	Chennai
dc.publisher.university	Dr. M.G.R. Educational and Research Institute
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Information Systems
dc.subject.keyword	Engineering and Technology
dc.title	the hybrid techniques dnn mmbo hlno eho nn ga and nn for classification in rejection of faulty products with process model enhancement
dc.title.alternative
dc.type.degree	Ph.D.