1. Shodhganga@INFLIBNET
  2. Tezpur University
  3. Department of Electronics and Comm. Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/100294
Title: An artificial neural network based electronic nose system tea and spice flavour discrimination and drift parameter determination
Researcher: Kashwan, Kishana Ram
Guide(s): Bhuyan, M
Keywords: Artificial neural networks, Sensor selection criterion, Artificial intelligence, Cluster analysis
University: Tezpur University
Completed Date: 2005
Abstract: Abstract available newline newline
Pagination: xxviii, 257p.
URI: http://hdl.handle.net/10603/100294
Appears in Departments:Department of Electronics and Comm. Engineering

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01_title.pdfAttached File296 kBAdobe PDFView/Open
02_abstract.pdf334.06 kBAdobe PDFView/Open
03_declaration.pdf22.76 kBAdobe PDFView/Open
04_certificate.pdf589.52 kBAdobe PDFView/Open
05_acknowledgment.pdf76.49 kBAdobe PDFView/Open
06_contents.pdf140.93 kBAdobe PDFView/Open
07_list of tables.pdf55.45 kBAdobe PDFView/Open
08_list of figures.pdf135.57 kBAdobe PDFView/Open
09_list of abbreviations.pdf38.13 kBAdobe PDFView/Open
10_chapter 1.pdf1.15 MBAdobe PDFView/Open
11_chapter 2.pdf3.3 MBAdobe PDFView/Open
12_chapter 3.pdf6.31 MBAdobe PDFView/Open
13_chapter 4.pdf9.07 MBAdobe PDFView/Open
14_chapter 5.pdf5.76 MBAdobe PDFView/Open
15_chapter 6.pdf511 kBAdobe PDFView/Open
16_appendices.pdf4.97 MBAdobe PDFView/Open
17_list of publications.pdf276.06 kBAdobe PDFView/Open
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