Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/124973
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dc.coverage.spatialJournalism and Science Communication-
dc.date.accessioned2017-01-09T05:23:42Z-
dc.date.available2017-01-09T05:23:42Z-
dc.identifier.urihttp://hdl.handle.net/10603/124973-
dc.description.abstractAbstract given-
dc.format.extent137 p.-
dc.languageEnglish-
dc.relation110-
dc.rightsuniversity-
dc.titleArtificial neural network based handwritten script recognition by using vector quantization method-
dc.creator.researcherPawar, Vijaya Rahul-
dc.subject.keywordArtificial Neural Network-
dc.subject.keywordHandwritten Script-
dc.subject.keywordQuantization Method-
dc.subject.keywordVector-
dc.description.noteAppendices, Bibliography 110-
dc.contributor.guideGaikwad, Arun N.-
dc.publisher.placePune-
dc.publisher.universityBharati Vidyapeeth Deemed University-
dc.publisher.institutionFaculty of Engineering and Technology-
dc.date.registered--
dc.date.completed2015-
dc.date.awarded--
dc.format.accompanyingmaterialNone-
dc.type.degreePh.D.-
dc.source.inflibnetINFLIBNET-
Appears in Departments:Faculty of Engineering and Technology

Files in This Item:
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01_title.pdfAttached File166.96 kBAdobe PDFView/Open
02_certificate.pdf231.25 kBAdobe PDFView/Open
03_declartion.pdf212.87 kBAdobe PDFView/Open
04_abstarct.pdf14.42 kBAdobe PDFView/Open
05_contents.pdf15.06 kBAdobe PDFView/Open
06_acknowledgement.pdf11.32 kBAdobe PDFView/Open
07_list of tables figures.pdf70.41 kBAdobe PDFView/Open
08_chapter i.pdf183.39 kBAdobe PDFView/Open
09_chapter 2.pdf257.57 kBAdobe PDFView/Open
10_chapter 3.pdf696.21 kBAdobe PDFView/Open
11_chapter 4.pdf811 kBAdobe PDFView/Open
12_chapter 5.pdf2.49 MBAdobe PDFView/Open
13_chapter 6.pdf125.59 kBAdobe PDFView/Open
14_appendices.pdf2.51 MBAdobe PDFView/Open
15_bibliography.pdf184.8 kBAdobe PDFView/Open
16_synopsis.pdf573.36 kBAdobe PDFView/Open


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