Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/6872
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DC FieldValueLanguage
dc.coverage.spatialComputer Sciencesen_US
dc.date.accessioned2013-02-11T07:19:13Z-
dc.date.available2013-02-11T07:19:13Z-
dc.date.issued2013-02-11-
dc.identifier.urihttp://hdl.handle.net/10603/6872-
dc.description.abstractIncludeden_US
dc.format.extenten_US
dc.languageEnglishen_US
dc.relation--en_US
dc.rightsuniversityen_US
dc.titleDecision Support System for congenital heart septum defect diagnosis using Artificial Neural Networksen_US
dc.title.alternativeen_US
dc.creator.researcherVanisree Ken_US
dc.subject.keywordComputer Sciencesen_US
dc.subject.keywordDecision Support Systemen_US
dc.subject.keywordArtificial Neural Networksen_US
dc.description.noteReferences p. 173-181, Appendix p. 182-190en_US
dc.contributor.guideJyothi Sen_US
dc.publisher.placeTirupatien_US
dc.publisher.universitySri Padmavathi Womens Universityen_US
dc.publisher.institutionDepartment of Computer Scienceen_US
dc.date.registeredn.d.en_US
dc.date.completed2011en_US
dc.date.awarded2011en_US
dc.format.dimensions--en_US
dc.format.accompanyingmaterialNoneen_US
dc.type.degreePh.D.en_US
dc.source.inflibnetINFLIBNETen_US
Appears in Departments:Department of Computer Science

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01_title.pdfAttached File80.61 kBAdobe PDFView/Open
02_certificate.pdf138.08 kBAdobe PDFView/Open
03_abstract.pdf58.96 kBAdobe PDFView/Open
04_chapter 1.pdf76.48 kBAdobe PDFView/Open
05_chapter 2.pdf607.18 kBAdobe PDFView/Open
06-chapter 3.pdf403.6 kBAdobe PDFView/Open
07_chapter 4.pdf608.36 kBAdobe PDFView/Open
08_chapter 5.pdf796.66 kBAdobe PDFView/Open
09_chapter 6.pdf357.01 kBAdobe PDFView/Open
10_chapter 7.pdf155.4 kBAdobe PDFView/Open
11_chapter 8.pdf39.85 kBAdobe PDFView/Open
12_references.pdf71.57 kBAdobe PDFView/Open
13_appendix.pdf82.5 kBAdobe PDFView/Open


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