ABSTRACT
The article considers an example of using machine learning to simulate supply air jet flow coming from a circular grille. Experimental setup and process are described. The article addresses the specifics of machine learning development, adjustment and application to obtain simulation outputs, the values of which have satisfactory convergence with experimental data. The main advantages and disadvantages as well as prospects of the proposed simulation method are analyzed.
