SET Proceedings 2978-4387 Caravel Press 10.65582/set.2005.097 2005.097 Dynamic Model of Heat Exchanger Based on Neural Network GuoMin HanXinkui ZhouShouJun School of Thermal Engineering, Shandong institute of Architecture and Engineering, Jinan 250014, China HuanTai Power Plant,Jinan 250014,China 23092005 4 1 978-7-112-07718-2 437 439 23 September 2005 © 2005 Copyright WSSET 2005

Neural network is used to establish dynamic model of heat exchanger system in this paper, gray-box model is brought forward on the base of analyzing heat exchanger's operating characteristic. Matrix operations are easy to be understood, the result of prediction is accurate.

 heat exchanger Neural Network dynamic model BP algorithm 23 to 25 September 2005 4th International Conference on Sustainable Energy Technologies SET2005 4 Jinan, China Norega R, Wang Hong. A direct adaptive Neural-Network Control for unknown nonlinear systems and its application[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS ,1998, 199(1) :27-34. K.Funahashi,On the approximate realization of continuous mappings by neural networks, Neural Networks 2(1989) 183-192 G.Cohen, Neural network implementations to control real-time manufacturing systems, Comput. Manuf. Syst.11(1998) 243-251. L.N.Smith,L.V.Dihoru, Optimisation of powder packing densities using image analysis and neural network modelling , Met. Powder Rep.55(3) (2000)