Prediction of a heat-exchanger’s dynamic performance based on BP NN

To accurately predict the dynamic performance of a heat exchanger, this paper first analyzed its basic operating characteristics, then built the predicting model with the help of the neural network (NN), finally put forward a back propagation (BP) predicting algorithm and programmed it. The comparison between the real output of the heat exchanger and the predicting output of the program shows that the predicting method for the heat exchanger based on BP NN can predict the heat exchangerpsilas dynamic performance effectively, and proves that the NN technology is an effective way in the predicting of the heat exchangerpsilas dynamic performance.