1. Shodhganga@INFLIBNET
  2. Rajiv Gandhi Proudyogiki Vishwavidyalaya
  3. Computer Science Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/406350
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-09-20T05:31:21Z-
dc.date.available2022-09-20T05:31:21Z-
dc.identifier.urihttp://hdl.handle.net/10603/406350-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleInvestigations in Neural Network Learning Algorithms
dc.title.alternative
dc.creator.researcherTiwari,Aruna
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideChaudhari,N.S.
dc.publisher.placeBhopal
dc.publisher.universityRajiv Gandhi Proudyogiki Vishwavidyalaya
dc.publisher.institutionDepartment of Computer Science Engineering
dc.date.registered2003
dc.date.completed2008
dc.date.awarded2008
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer Science Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File256.33 kBAdobe PDFView/Open
02_declaration by the candidate (para 12 b).pdf168.35 kBAdobe PDFView/Open
03_certificate.pdf320.38 kBAdobe PDFView/Open
04_ acknowledgement.pdf339.95 kBAdobe PDFView/Open
05_contents.pdf836.52 kBAdobe PDFView/Open
06_list of graph and tables.pdf821.19 kBAdobe PDFView/Open
07_ chapter 1 introduction.pdf1.57 MBAdobe PDFView/Open
08_ chapter 2 literature survey.pdf3.14 MBAdobe PDFView/Open
09_ chapter 3 review of expand -and fastcovering learning algorithms forboolean neural networks.pdf7.54 MBAdobe PDFView/Open
10_a chapter 5 pon based learning methodology for three layer network structure.pdf9.35 MBAdobe PDFView/Open
10_b chapter 6 an approach for solving multi-class classification udin fcls.pdf5.87 MBAdobe PDFView/Open
10_c chapter 7 design of classifier using fcla as a base learner.pdf5.94 MBAdobe PDFView/Open
10_ chapter 4 learning methodology for multi-problems using etl framework.pdf7.09 MBAdobe PDFView/Open
10_d chapter 8 application of multi-class learning algorithms for the dedign dfa.pdf4.68 MBAdobe PDFView/Open
10_e chapter 9 concluding remarks.pdf1.42 MBAdobe PDFView/Open
11_bibliography.pdf3.72 MBAdobe PDFView/Open
12_annexure.pdf3.02 MBAdobe PDFView/Open
80_recommendation.pdf1.63 MBAdobe PDFView/Open
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