Title :
Neural network simulation of arbitrary objects during their bisubject qualimetric evaluation
Author_Institution :
Bryansk State Technical University, Russia
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"
Conference_Titel :
Mechanical Engineering, Automation and Control Systems (MEACS), 2015 International Conference on
DOI :
10.1109/MEACS.2015.7414904