Study on Neural Network Model of Frost Growth

By Zhiqiang Liu; Guangfa Tang

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Study on Neural Network Model of Frost Growth

机译：霜冻生长的神经网络模型研究

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摘要

Frost deposition is an important phenomenon on evaporators of heat pumps and a frost growth model is a necessary part of the heat pumps simulation research. The empirical correlation models have much larger errors than the measurement's errors due to the data compression presented by them and the mathematical models recently reported are limit ed by the consumption of computing time. In this paper, an artificial neural network (ANN) model to simulate the frost growth is presented and the results show that it not only can be applied to simulation of heat pumps but also has the same error level as the meas urements.

机译：结霜是热泵蒸发器上的重要现象，结霜模型是热泵仿真研究的必要组成部分。经验相关模型的误差比测量误差大得多，这归因于它们之间的数据压缩，并且最近报道的数学模型受到计算时间的限制。提出了一种模拟霜冻生长的人工神经网络模型，结果表明该模型不仅可以应用于热泵的模拟，而且具有与测量相同的误差水平。

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来源
《International Journal of Heat Exchangers》 |2004年第1期|p.95-107|共13页
作者
By Zhiqiang Liu; Guangfa Tang;
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作者单位

Hunan University, Changsha, People's Republic of China;

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原文格式 PDF
正文语种 eng
中图分类热力工程、热机;
关键词
ANN model; correlation model; evaporator; frost growth; mathematical model; simulation; heat pump;

机译：人工神经网络模型;相关模型;蒸发器;霜冻增长;数学模型;模拟;热泵;

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Study on Neural Network Model of Frost Growth

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