摘要
本文对BP神经网络的构成、算法设置及BP模型的预测步骤进行介绍,并以深圳某一大型公共建筑为例进行了负荷模拟,将BP神经网络模型应用到冷负荷预测活动中,数值模拟结果表明BP神经网络模型对负荷与各输入变量有很好的映射能力。
This paper introduces the composition,algorithm setting and prediction steps of BP model.A large public building in Shenzhen serves as an example to undertake simulation process,and the BP neural network model is applied to the cooling load prediction.The numerical simulation results show that the BP neural network model has a good mapping ability to the load and input variables.
作者
陈锐彬
李泽奇
黄永益
Chen Ruibin;Li Zeqi;Huang Yongyi(China Academy of Building Research,Beijing,100076;Guangzhou University,Guangzhou,510006)
出处
《建设科技》
2019年第1期38-42,共5页
Construction Science and Technology
关键词
BP神经网络
负荷预测
公共建筑
BP neural network
load prediction
public building