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一座小型建筑空调动态负荷的ANN预测研究
引用本文:张锦松,刘安田,王健.一座小型建筑空调动态负荷的ANN预测研究[J].后勤工程学院学报,2004,20(2):77-81.
作者姓名:张锦松  刘安田  王健
作者单位:海军北海舰队,工程处,青岛,266012;后勤工程学院,军事建筑与环境工程系,重庆,400016
摘    要:人工神经网络(Artificial Neural Network,简称ANN)是一种崭新非线性建模和预测方法,具有良好的非线性品质和极高的拟合精度。在前人研究的基础上,针对一座小型建筑物建立了其空调动态负荷预测的BP模型。为克服常规BP训练算法的缺陷,提出了一种改进的遗传搜索算法,结果证明是一种高效实用的算法。

关 键 词:人工神经网络  空调动态负荷预测  BP模型  遗传算法
文章编号:1672-7843(2004)02-0077-05
修稿时间:2003年10月30

Research about ANN Prediction of HVAC Dynamic Load of A Small Building
ZhANG Jin - song,LIU An - tian,WANG Jian.Research about ANN Prediction of HVAC Dynamic Load of A Small Building[J].Journal of Logistical Engineering University,2004,20(2):77-81.
Authors:ZhANG Jin - song  LIU An - tian  WANG Jian
Abstract:The artificial neural network (ANN) is a king of new non - linear modeling and method of predicting, which have a good non - linear quality and extremely high precision of fitting. On the basis of what forefathers have studied, the paper sets up a BP model of prediction of a small building's heating ventilation & air conditioning (HVAC) dynamic load. In order to overcome such defect as the general BP algorithm, a kind of improving genetic algorithm is put forward. Experiments have proved that the algorithm is an effective and useful algorithm.
Keywords:artificial neural network  prediction of hvac dynamic load  bp model  genetic algorithm
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