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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.

The results of neural network modeling of average heat transfer in the channels of exchangers with surface enhancer of different shapes are presented. Artificial neural networks are trained using experimental data, which covers more than ten sources. The possibility and prospects of building artificial neural networks for modeling the characteristics of heat exchange surfaces are shown.