• DocumentCode
    3156438
  • Title

    Application of a neural network to human tasting

  • Author

    Suganuma, Akira ; Kataoka, Masato ; Araki, Keijiro

  • Author_Institution
    Dept. of Comput. Sci. & Commun. Eng., Kyushu Univ., Fukuoka, Japan
  • fYear
    1992
  • fDate
    21-25 Sep 1992
  • Firstpage
    277
  • Lastpage
    282
  • Abstract
    The authors describe the application of an artificial neural network (ANN) to represent the sense of taste. A taste sensor has been developed recently. Though the taste sensor responds to various taste substances, it was very difficult to map the responses to a concentration of each substance. The attempt to recognize the sensor response and map them to the concentration of the substances is described. When an analytical approach was applied to this problem, it did not bring about the desired effect. A method to estimate the strength of each taste substance with an ANN was successful. The results of the experiment are presented
  • Keywords
    artificial intelligence; neural nets; artificial neural network; human tasting; neural network; taste sensor; Acoustic sensors; Artificial neural networks; Auditory system; Character recognition; Chemical sensors; Food industry; Humans; Neural networks; Pattern recognition; Transducers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference, 1992. COMPSAC '92. Proceedings., Sixteenth Annual International
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-8186-3000-0
  • Type

    conf

  • DOI
    10.1109/CMPSAC.1992.217555
  • Filename
    217555