• DocumentCode
    3670817
  • Title

    Discrimination of different fish species by E-nose

  • Author

    Selda Güney;Ayten Atasoy

  • Author_Institution
    Department of Electrical and Electronics Engineering, Baskent University, Ankara, 06530 Turkey
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The aim of this study is to distinguish three different types of fish which are anchovy, horse mackerel and whiting by an electronic nose. Generally, the electronic noses are composed of three units. These are sensor unit which has 8 metal oxide sensors in this study, an electronic unit and a pattern recognition unit. In the pattern recognition unit, signal preprocessing, feature extraction and classification stages are performed. For distinguishing different fish species, different feature extraction methods and classification methods are compared with each other. Then the best combination of feature extraction and classification method is selected and applied to the fish database.
  • Keywords
    "Feature extraction","Classification algorithms","Electronic noses","Decision trees","Chemicals","Metals"
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications and Signal Processing (TSP), 2015 38th International Conference on
  • Type

    conf

  • DOI
    10.1109/TSP.2015.7296458
  • Filename
    7296458