Title :
The choice of parameters of welding materials on the basis of fuzzy cognitive model with neural network identification of nonlinear dependence
Author :
A.G. Podvesovskii;K.V. Gulakov;K.V. Dergachyov;D.A. Korostelyov;D.G. Lagerev
Author_Institution :
Department of Informatics and Software Engineering, Bryansk State Technical University, Russia
Abstract :
A problem of choosing welding electrode coating and strength property of a metal jointv is considered in the paper. To solve this problem we offered a hybrid model including a fuzzy cognitive map to describe a welding process and a neural network model of identification of nonlinear dependences for factors having experimental data. The model structure and peculiarities of its construction and application are also defined.
Keywords :
"Welding","Electrodes","Coatings","Artificial neural networks","Neurons","Informatics","Software engineering"
Conference_Titel :
Mechanical Engineering, Automation and Control Systems (MEACS), 2015 International Conference on
DOI :
10.1109/MEACS.2015.7414909