• DocumentCode
    1856978
  • Title

    Software Development for Black Tea´s Physical Variable and Quality Class Relationship Analyzing Using Correlation Adaptive Vis. Pat. Recognition Artificial Neural Network Based Expert System: Proof of Concept of Auto Parameter Choosing Expert System

  • Author

    Jenie, Renan Prasta

  • Author_Institution
    Inf. Technol. Directorate, Technol. Dev. Div., Bina Nusantara Univ., Jakarta, Indonesia
  • fYear
    2010
  • fDate
    2-3 Dec. 2010
  • Firstpage
    21
  • Lastpage
    26
  • Abstract
    The absence of standard in black tea assessment was one main obstacle in its quality assurance. This research were contains process of black tea assessment software development, software problem solving concept, and the software evaluation made. This paper was a proof of simple concept that an expert system should automatically find and chose relevant parameters from relationship between raw image data and custom customer classification system, not only measuring dictated parameter and calculate the result on it.
  • Keywords
    beverage industry; expert systems; image recognition; neural nets; production engineering computing; software quality; artificial neural network; black tea assessment; correlation adaptive visual pattern recognition; custom customer classification system; expert system; physical variable; quality assurance; quality class relationship; software development; software evaluation; software problem solving concept; Accuracy; Arrays; Artificial neural networks; Correlation; Expert systems; Software; Testing; artificial neural network; black tea; expert system; parameter correlation analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Control and Telecommunication Technologies (ACT), 2010 Second International Conference on
  • Conference_Location
    Jakarta
  • Print_ISBN
    978-1-4244-8746-2
  • Electronic_ISBN
    978-0-7695-4269-0
  • Type

    conf

  • DOI
    10.1109/ACT.2010.13
  • Filename
    5675851