流体机械

2002, (05) 59-61+24

[打印本页] [关闭]
本期目录(Current Issue) | 过刊浏览(Past Issue) | 高级检索(Advanced Search)

基于人工神经网络的空气源热泵冷热水机组的性能模拟
Simulation of Performance Based on Artificial Neural Net for Air-source Heat Pump Water Heater/Chillers

姜益强,姚杨,马最良
Jiang Yiqiang Yao Yang Ma Zuiliang

摘要(Abstract):

采用人工神经网络对冬季运行的空气源热泵冷热水机组特性进行了模拟 ,利用BP算法对网络的连接权值进行学习和调整 ,从而满足给定精度的要求。只要训练样本可靠而充分 ,采用该方法建模可以满足在线故障诊断的需要
The performance of the units operating in winter is simulated using the neural networks. In order to achieve high precision, the connection power of the networks is studied and adjusted using the back propagation training algorithm (BP algorithm). The simulated outcome can meet the demands of on line fault diagnosis if the training samples are reliable and abundant.

关键词(KeyWords): 神经网络;空气源热泵冷热水机组;训练样本;BP算法
neural networks;air source heat pump heater/chiller unit;training sample;back propagation training algorithm

Abstract:

Keywords:

基金项目(Foundation): 哈尔滨工业大学科学研究基金项目 (HIT 2 0 0 0 2 6)

作者(Author): 姜益强,姚杨,马最良
Jiang Yiqiang Yao Yang Ma Zuiliang

Email:

DOI:

扩展功能
本文信息
服务与反馈
本文关键词相关文章
本文作者相关文章
中国知网
分享