• DocumentCode
    537562
  • Title

    Research on the Prediction Model of Supply Risk Based on SVM

  • Author

    Meng Da-peng ; Shi Chun-sheng

  • Author_Institution
    Sch. of Manage., Harbin Inst. of Technol., Harbin, China
  • Volume
    1
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    67
  • Lastpage
    71
  • Abstract
    As an effective method of machine learning, Support vector machine has been widely used in prediction. Proposition the supply of risk control and prevention, based on establishment evaluation index system and questionnaire to enterprise, this paper construct the supply risk prediction model and then discuss the fitting degree of model, expect to provide the basis for supply risk management.
  • Keywords
    learning (artificial intelligence); prediction theory; risk management; statistical analysis; supply chain management; support vector machines; SVM; establishment evaluation index system; machine learning; risk control; risk prevention; statistical learning theory; supply risk management; supply risk prediction model; support vector machine; prediction model Introduction; supply risk; support vector machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Information Systems and Mining (WISM), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8438-6
  • Type

    conf

  • DOI
    10.1109/WISM.2010.34
  • Filename
    5662285
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=537562