1. Shodhganga@INFLIBNET
  2. Manipal Academy of Higher Education
  3. Dept. of Electrical & Electronics Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/169888
Title: Design of intelligent reconfigurable architecture for financial derivatives
Researcher: Vijayalaxmi
Guide(s): Adiga Chandrashekara, S and Joshi, H G
Keywords: Bacterial
Circuits
Neural network
Volatility
University: Manipal University
Completed Date: 2017
Abstract: Abstract Given newline
Pagination: 97 p.
URI: http://hdl.handle.net/10603/169888
Appears in Departments:Dept. of Electrical & Electronics Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File27.59 kBAdobe PDFView/Open
02_certificate.pdf21.46 kBAdobe PDFView/Open
03_abstract.pdf84.96 kBAdobe PDFView/Open
04_declaration.pdf6.41 kBAdobe PDFView/Open
05_acknowledgement.pdf84.66 kBAdobe PDFView/Open
06_contents.pdf42.46 kBAdobe PDFView/Open
07_list of tables figures.pdf125.79 kBAdobe PDFView/Open
08_abbreviations.pdf6.33 kBAdobe PDFView/Open
09_chapter 1.pdf121.21 kBAdobe PDFView/Open
10_chapter 2.pdf161.04 kBAdobe PDFView/Open
11_chapter 3.pdf12.23 kBAdobe PDFView/Open
12_chapter 4.pdf214.71 kBAdobe PDFView/Open
13_chapter 5.pdf305.93 kBAdobe PDFView/Open
14_chapter 6.pdf2.06 MBAdobe PDFView/Open
15_conclusions.pdf76.14 kBAdobe PDFView/Open
16_summary.pdf11.44 kBAdobe PDFView/Open
17_references.pdf191.07 kBAdobe PDFView/Open
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