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通过影响空调负荷的参数的研究，认为空调负荷是一个动态过程；结合神经网络的内在特点和功能，对某一空调系统的冷负荷进行了预测，结果能满足计算要求。在这基础上考虑了为提高神经网络预测空调负荷准确性还应进一步开展的工作。
Air conditioning load is considered to be a dynamic process by studying the parameters that affect the air conditioning load. Combined with the inherent characteristics and functions of the neural network, the cooling load of an air conditioning system is predicted, and the results meet the calculation requirements. On this basis, the work to be further carried out to improve the accuracy of neural network in predicting air conditioning load is considered.