The optimum study of neural network control in air conditioning system load prediction

doi:10.3969/j.issn.0253-4339.2002.02.008

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The optimum study of neural network control in air conditioning system load prediction

更新时间：2025-02-26

- The optimum study of neural network control in air conditioning system load prediction
- Journal of Refrigeration Issue 2, (2002)
- 作者机构：
  
  天津大学建工学院天津　300072(朱能，史学宇，刘俊杰)，天津大学建工学院天津　300072(杜进荣
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0253-4339.2002.02.008
  CLC：
- Published：2002
- 稿件说明：
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The optimum study of neural network control in air conditioning system load prediction[J]. Journal of refrigeration, 2002, (2).
DOI：

The optimum study of neural network control in air conditioning system load prediction[J]. Journal of refrigeration, 2002, (2). DOI： 10.3969/j.issn.0253-4339.2002.02.008.

摘要

人工神经网络预测系统可以对空调负荷进行有效的预测。本文通过利用神经网络预测对空调负荷的实际预测过程的研究，讨论了输入参数的选择和预处理、目标误差的确定、网络的学习率和训练次数等与预测效果之间的关系。对目标误差、网络的学习率和训练次数进行了具体的优化。该优化结果对今后开展利用神经网络的空调负荷预测工作有一定的参考作用。

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The optimum study of neural network control in air conditioning system load prediction

DOI：10.3969/j.issn.0253-4339.2002.02.008

摘要

Abstract

关键词

Keywords

references