Use of Neural Networks for Dynamic Heat Exchanger Modeling

被引：0
|
作者：
N. A. Lavrov
S. I. Khutsieva
V. A. Shananin
机构：
[1] Bauman Moscow State Technical University,
[2] Moscow State University of Civil Engineering,undefined
来源：
Chemical and Petroleum Engineering | 2023年 / 58卷
关键词：
heat exchangers; neuronal networks; dynamic flow conditions;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Use of neural networks for calculating flow temperatures of dynamic dual-flow countercurrent heat exchanger is investigated. The optimum neural network architecture for the problem of dynamic heat exchanger modeling is chosen and the optimum numbers of neurons and layers in the network for minimizing standard error are obtained.
引用
收藏
页码：917 / 924
页数：7
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