Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/428278
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dc.coverage.spatialNeural Networks
dc.date.accessioned2022-12-19T06:00:58Z-
dc.date.available2022-12-19T06:00:58Z-
dc.identifier.urihttp://hdl.handle.net/10603/428278-
dc.description.abstractnewline File Attached
dc.format.extenti-xv, 1-180
dc.languageEnglish
dc.relationBibliography Pp.135-142
dc.rightsuniversity
dc.titleA System for offline interpretation of handwritten characters based on first stroke based self training in neural networks
dc.title.alternative
dc.creator.researcherMagesh, K
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Interdisciplinary Applications
dc.subject.keywordEngineering and Technology
dc.description.noteSelf training, Neural networks
dc.contributor.guideShanthi, V
dc.publisher.placeKanchipuram
dc.publisher.universitySri Chandrasekharendra Saraswathi Viswa Mahavidyalaya
dc.publisher.institutionDepartment of Computer Science and Applications
dc.date.registered2013
dc.date.completed2019
dc.date.awarded2019
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Applications

Files in This Item:
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01_title page.pdfAttached File113.75 kBAdobe PDFView/Open
02_prelim pages.pdf136.78 kBAdobe PDFView/Open
03_table of content.pdf82.02 kBAdobe PDFView/Open
04_abstract.pdf63.26 kBAdobe PDFView/Open
05_chapter 1.pdf318.64 kBAdobe PDFView/Open
06_chapter2.pdf421.72 kBAdobe PDFView/Open
07_chapter3.pdf597.72 kBAdobe PDFView/Open
08_chapter4.pdf1.24 MBAdobe PDFView/Open
09_chapter5.pdf1.19 MBAdobe PDFView/Open
10_chapter6.pdf211.09 kBAdobe PDFView/Open
11_chapter7.pdf84.59 kBAdobe PDFView/Open
12_annexures.pdf1.95 MBAdobe PDFView/Open
80_recommendation.pdf229.84 kBAdobe PDFView/Open


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