• DocumentCode
    1669792
  • Title

    Study on soft sensor for lysine fermentation based on BP neural network

  • Author

    Hongyi, Li ; Haoming, Zhang ; Yinhua, Wang

  • Author_Institution
    Suzhou Ind. Park Inst. of Vocational Technol., Suzhou, China
  • fYear
    2010
  • Firstpage
    4120
  • Lastpage
    4124
  • Abstract
    The key biological parameters (such as germ density, matrix density, product density)are hard to measure real-time online in biological fermentation process. Applications are great limited to the biological fermentation process in the advanced control technology. A BP neural network soft-sensor model is given based on lysine fermentation process in this paper, Experiment and simulation conclusions of lysine key parameters can be measured on-line, and achieve a higher accuracy.
  • Keywords
    backpropagation; biotechnology; fermentation; neural nets; sensors; BP neural network; biological fermentation process; biological parameter; lysine fermentation; soft sensor; Artificial neural networks; Biological system modeling; Chemicals; MATLAB; Mathematical model; Process control; BP neural network; Biology fermentation; Lysine; Soft-sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5553763
  • Filename
    5553763