Neural network modeling of surface heat transfer intensifiers in the form of segment recesses

Abstract

The results of neural network modeling of surface heat transfer intensifiers in the form of spherical recesses are presented, based on experimental data. The possibility and prospects of building artificial neural networks for modeling the characteristics of heat exchange surfaces are shown.