• DocumentCode
    3751716
  • Title

    Neural network simulation of arbitrary objects during their bisubject qualimetric evaluation

  • Author

    A. Morozova

  • Author_Institution
    Bryansk State Technical University, Russia
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A procedure of the object set typing system of the parameter analytical field and the analyzed object identification profile formation is presented. The expediency of neural network technologies application for arbitrary objects bisubject qualimetric evaluation is substantiated. As an example, we consider the results of modeling the solution of fixing the main employees types and identifying experts, which reduces the cost of resources for recruitment to vacant engineering positions.
  • Keywords
    "Object recognition","Neural networks","Analytical models","Mechanical engineering","Automation","Control systems","Training"
  • Publisher
    ieee
  • Conference_Titel
    Mechanical Engineering, Automation and Control Systems (MEACS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/MEACS.2015.7414904
  • Filename
    7414904