| 一座小型建筑空调动态负荷的ANN预测 |
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| 引用本文： | 张锦松,谭靖,刘安田,王志飞.一座小型建筑空调动态负荷的ANN预测[J].洁净与空调技术,2004,21(3):17-21. |
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| 作者姓名： | 张锦松 谭靖 刘安田 王志飞 |
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| 作者单位： | 海军北海舰队工程指挥部;海军北海舰队工程指挥部;海军北海舰队工程指挥部;海军北海舰队工程指挥部 |
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| 摘 要： | 人工神经网络(ANN)具有良好的非线性品质和极高的拟合精度，是一种崭新的非线性建模和预测方法。本文针对一座小型建筑建立了空调动态负荷预测的BP模型，并着重在模型结构和训练算法两个方面进行改进，提高了模型的训练速度和预测精度。
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| 关 键 词： | ANN 空调动态负荷 预测 BP模型 遗传算法 |
| 修稿时间： | 2004年3月29日 |
Prediction with ANN of Aerodynamic Load of a Small Building |
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| ZHANG Jinsong,TAN Jing,LIU Antian and WANG Zhifei Engineering Commanding Office,Northern Sea Fleet,Marine,China.Prediction with ANN of Aerodynamic Load of a Small Building[J].Contamination Control & Air-Conditioning Technology,2004,21(3):17-21. |
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| Authors: | ZHANG Jinsong TAN Jing LIU Antian and WANG Zhifei Engineering Commanding Office Northern Sea Fleet Marine China |
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| Abstract: | Artificial neural network (ANN) , which has good non-linear quality and extremely high precision of fitting, is a kind of new non-linear method ofmodeling and predicting. A BP model is set up in this article to predict HVAC dynamic load of a small building. Modified model structure and training algorithm is proved to improve training speed and predicting precision. |
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| Keywords: | ANN HVAC dynamic load Predicting BP model Genetic algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
