The Two-Level Model for Choosing the Composition of Welding Electrode Coatings
The problems of modeling multivariate dependencies on the basis of experimental data using the methods of cognitive modeling are considered. A method based on neural network approach is developed to construct a regression model of the dependence of the strength characteristics of welded joints on the composition of the electrode coating. The results of neural network modeling of the toughness function are presented.