1. Shodhganga@INFLIBNET
  2. Pt. Ravishankar Shukla University
  3. Department of Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/42585
Title: Status assessment of power lines using artificial neural networks
Researcher: Dwivedi, Bharti
Guide(s): Zadgaonkar, A
Keywords: Assessment
Networks
Power
Status
Upload Date: 3-Jun-2015
University: Pt. Ravishankar Shukla University
Completed Date: 2000
Abstract: Abstract avalible
Pagination: 118p.
URI: http://hdl.handle.net/10603/42585
Appears in Departments:Department of Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File186.9 kBAdobe PDFView/Open
02_dedication.pdf5.79 kBAdobe PDFView/Open
03_index.pdf7.16 kBAdobe PDFView/Open
04_certificate.pdf18.77 kBAdobe PDFView/Open
05_declaration.pdf15.47 kBAdobe PDFView/Open
06_synopsis.pdf14.52 kBAdobe PDFView/Open
07_aknowledgements.pdf34.78 kBAdobe PDFView/Open
08_abstract.pdf35.46 kBAdobe PDFView/Open
09_preface.pdf67.05 kBAdobe PDFView/Open
10_contents.pdf35.11 kBAdobe PDFView/Open
11_chapter 1.pdf162.4 kBAdobe PDFView/Open
12_chapter 2.pdf332.02 kBAdobe PDFView/Open
13_chapter 3.pdf375.78 kBAdobe PDFView/Open
14_chapter 4.pdf324.25 kBAdobe PDFView/Open
15_chapter 5.pdf224.85 kBAdobe PDFView/Open
16_canclusion.pdf58.13 kBAdobe PDFView/Open
17_bibliography.pdf449.14 kBAdobe PDFView/Open
18_appendix.pdf115 kBAdobe PDFView/Open
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