• DocumentCode
    3682468
  • Title

    Modeling method of polysaccharide precipitation of Traditional Chinese medicine injection

  • Author

    Hongjun Duan;Zhenhe Ma;Shurong Zhu;Yong Shao

  • Author_Institution
    School of Control Engineering, Northeastern University at Qinhuangdao, Hebei Province, China
  • fYear
    2015
  • Firstpage
    147
  • Lastpage
    152
  • Abstract
    In this article, Traditional Chinese medicine Ophiopogon japonicus was the study object, the precipitation process model of Ophiopogon japonicus polysaccharide based on BP neural network algorithm was established according to the measured data. The principle of BP neural network and the feature of selecting model parameters were introduced, and the improved BP algorithm was proposed. After analyzing the precipitation process of Ophiopogon japonicus polysaccharide, the model parameters of polysaccharide precipitation process were determinimaled, and then the neural network model was established. At the last, the simulation results were analyzed, the model meets control requirements.
  • Keywords
    "Training","Biological neural networks","Data models","Mathematical model","Analytical models","Convergence"
  • Publisher
    ieee
  • Conference_Titel
    Awareness Science and Technology (iCAST), 2015 IEEE 7th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICAwST.2015.7314037
  • Filename
    7314037