Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/271493
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DC FieldValueLanguage
dc.coverage.spatialComputer Science
dc.date.accessioned2020-01-27T04:50:11Z-
dc.date.available2020-01-27T04:50:11Z-
dc.identifier.urihttp://hdl.handle.net/10603/271493-
dc.description.abstractnone
dc.format.extent138 p.
dc.languageEnglish
dc.relationno. of references 243
dc.rightsuniversity
dc.titleAdaptive particle swarm and teaching learning based optimization for function optimization and classification problems
dc.title.alternative-
dc.creator.researcherSahu, Amaresh
dc.subject.keywordArtificial Neural Network
dc.subject.keywordData collection
dc.subject.keywordData collection tools and techniques
dc.subject.keywordData generation
dc.subject.keywordEngineering and Technology,Computer Science,Computer Science Artificial Intelligence
dc.description.notebibliography p.118-138
dc.contributor.guidePattnaik, Sabyasachi
dc.publisher.placeBhubaneswar
dc.publisher.universityShiksha o Anusandhan University
dc.publisher.institutionDepartment of Computer Science
dc.date.registeredn.d.
dc.date.completed2018
dc.date.awardedn.d.
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.type.degreePh.D.
dc.source.inflibnetINFLIBNET
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File751.62 kBAdobe PDFView/Open
02_certificate.pdf397.58 kBAdobe PDFView/Open
03_acknowledgement.pdf268.39 kBAdobe PDFView/Open
04_abstract.pdf150.31 kBAdobe PDFView/Open
05_table of content.pdf269.05 kBAdobe PDFView/Open
06_list of tables and figures.pdf155.13 kBAdobe PDFView/Open
07_chapter 1.pdf215.67 kBAdobe PDFView/Open
08_chapter 2.pdf120.87 kBAdobe PDFView/Open
09_chapter 3.pdf316.68 kBAdobe PDFView/Open
10_chapter 4.pdf233.61 kBAdobe PDFView/Open
11_chapter 5.pdf187.29 kBAdobe PDFView/Open
12_chapter 6.pdf21.28 kBAdobe PDFView/Open
13_appendix.pdf396.68 kBAdobe PDFView/Open
14_bibliography.pdf118.25 kBAdobe PDFView/Open
15_synopsis.pdf843.53 kBAdobe PDFView/Open


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