Abstract

The technique of neural network modeling of thermal-hydraulic efficiency in the surface intensification of heat exchange equipment is presented. The results of neural network modeling for various surface intensifiers are obtained. Data from experimental studies were used to train an artificial neural network.

中文翻译：

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有希望的表面传热增强器的热工效率的神经网络建模

摘要

提出了热交换设备表面强化过程中​​热工效率的神经网络建模技术。获得了各种表面增强器的神经网络建模结果。来自实验研究的数据用于训练人工神经网络。