摘要
针对实行热计量后热负荷变化的特点 ,采用神经网络中应用最广泛的BP网络对热负荷进行预测 ,利用MATLAB仿真程序对所建立的人工神经网络负荷预测模型进行验证 ,仿真误差为 6.93% 。
According to the varying characteristics of heat load after implementing of heating metering, uses the BP network in the artificial neural network (ANN) to predict heat loads of a heating system. Applies MATLAB simulation program to verify the ANN loads predicting model. The error is 6.93% which meets the needs of the actual projects.
出处
《暖通空调》
北大核心
2003年第6期105-107,共3页
Heating Ventilating & Air Conditioning
