• DocumentCode
    2051993
  • Title

    Risk Evaluation of Warehouse Receipt Pledging Business Based on SOM Neural Network

  • Author

    Jiajuan, Chen ; Xiaoqi, Cai ; Fang, Xie

  • Author_Institution
    Sch. of Traffic & Transp., Beijing Jiaotong Univ., Beijing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    14-15 Aug. 2010
  • Firstpage
    334
  • Lastpage
    337
  • Abstract
    The 20 indicators of warehouse receipt pledging business risk evaluation is made, and the risk is divided into 9 grades, the risk grade evaluation model is made by using self-organizing feature map artificial neural network. The actual business data are used to train and test the model.
  • Keywords
    business data processing; logistics; risk analysis; self-organising feature maps; SOM neural network; artificial neural network; risk evaluation; risk grade evaluation model; self-organizing feature map; warehouse receipt pledging business; Artificial neural networks; Business; Data models; Neurons; Safety; Training; Business Risk Evaluation; Pledging; Warehouse Receipt; Words- SOM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering (ICIE), 2010 WASE International Conference on
  • Conference_Location
    Beidaihe, Hebei
  • Print_ISBN
    978-1-4244-7506-3
  • Electronic_ISBN
    978-1-4244-7507-0
  • Type

    conf

  • DOI
    10.1109/ICIE.2010.86
  • Filename
    5571138
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2051993