应用人工神经网络预测建筑物空调负荷

Application of artificial neural network in predicting building cooling load

用VB编制了人工神经网络的通用BP算法程序。根据西安参考年气象参数 ,采用动态模拟程序计算了某办公楼 4月至 9月逐时冷负荷 ,结果显示利用神经网络的预测值与计算值吻合。

Develops a general BP algorithm program of artificial neural nerwork based on VB. According to annual meterological parameters in Xi'an, calculates the hourly cooling loads of an office building from April to September by the dynamic simulation program. The results show the predicted values are in good harmony with the calculated ones.