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According to the simulation application of artificial neural network technology in refrigeration and air conditioning system,This paper builds the performance simulation system of single loop refrigeration system. Through the experimental simulation of refrigeration system in changing in load in summer,sample data used for training the neural network model are obtained. Build a variety of neural network structure on the refrigeration system,and analysis of the influence of different structure parameters on the accuracy of the neural network model. Using the trained neural network model with two hidden layers,the refrigeration system was simulated in this paper. The factors affecting performance of air conditioning units,which include the frequency of the compressor,outdoor temperature and indoor temperature,were studied in this paper. Simulation results show that EER of the system first increases and then decreases with the increasing frequency of compressor,increases with the increasing indoor temperature,and decreases with the increasing outdoor temperature. The results show that using artificial neural network method to analyze the performance of refrigeration units is an effective way.