Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/181482
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DC FieldValueLanguage
dc.coverage.spatialScience and Humanities
dc.date.accessioned2017-11-16T06:52:51Z-
dc.date.available2017-11-16T06:52:51Z-
dc.identifier.urihttp://hdl.handle.net/10603/181482-
dc.description.abstractAbstract available
dc.format.extentxxii, 189p.
dc.languageEnglish US
dc.relation177-188
dc.rightsuniversity
dc.titleA fuzzy enabled neural learning paradigm for prediction of acute myocardial infarction
dc.title.alternative
dc.creator.researcherK, Anil George
dc.subject.keywordFuzzy
dc.subject.keywordInfarction
dc.subject.keywordMyocardial
dc.subject.keywordNeural
dc.subject.keywordParadigm
dc.description.noteData not available
dc.contributor.guideAnitha, R
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Science and Humanities
dc.date.registeredn.d.
dc.date.completed2016
dc.date.awardedn.d.
dc.format.dimensions21cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Science and Humanities

Files in This Item:
File Description SizeFormat 
01_title page.pdfAttached File14.84 kBAdobe PDFView/Open
02_certificate.pdf235.5 kBAdobe PDFView/Open
03_abstract.pdf76.6 kBAdobe PDFView/Open
04_acknowledgement.pdf88.15 kBAdobe PDFView/Open
05_table of content.pdf221.29 kBAdobe PDFView/Open
06_list of symbol and abbreviations.pdf52.29 kBAdobe PDFView/Open
07_chapter 1.pdf363.8 kBAdobe PDFView/Open
08_chapter 2.pdf2.68 MBAdobe PDFView/Open
09_chapter 3.pdf1.25 MBAdobe PDFView/Open
10_chapter 4.pdf2.77 MBAdobe PDFView/Open
11_results and discussion.pdf1.56 MBAdobe PDFView/Open
12_conclusion.pdf158.14 kBAdobe PDFView/Open
13_appendix 1.pdf29.25 kBAdobe PDFView/Open
14_appendix 2.pdf61.22 kBAdobe PDFView/Open
15_references.pdf774.18 kBAdobe PDFView/Open
16_list of publication.pdf47.4 kBAdobe PDFView/Open


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