• DocumentCode
    2571406
  • Title

    TCM syndrome essential factor quantization analysis model based on Fuzzy-Neural Networks

  • Author

    Jiansheng, Li ; Jianjing, Shen ; Jinliang, Hu ; Yue Caiging ; Rongyan, Wang

  • Author_Institution
    Dept. of Geriatrics, Henan Coll. of Traditional Chinese Med., Zhengzhou
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    5195
  • Lastpage
    5199
  • Abstract
    On the basis of present situation of study on TCM (traditional Chinese medicine) syndrome essential factor standard, a new model (fuzzy-neural networks based on dynamic Kohonen, FNN-DK) and its algorithms were put forward to explore TCM syndrome essential factor quantization analysis in way of fuzzy inference according to Kohonen neural network. The model was used in analysis of TCM syndrome essential factor, its rationalization and effection were test via Iris data and clinical data.
  • Keywords
    fuzzy neural nets; fuzzy reasoning; medical computing; medicine; Iris data; Kohonen neural network; TCM syndrome; clinical data; dynamic Kohonen; essential factor quantization analysis; fuzzy inference; fuzzy-neural networks; traditional Chinese medicine; Quantization; Dynamic kohonen; TCM syndrome quantization; computational intelligence; fuzzy inference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4598321
  • Filename
    4598321
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2571406