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.
Keywords. heat exchanger; Neural Network; dynamic model; BP algorithm
References
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)
How to cite this article
Guo, M., Han, X. and Zhou, S. (2005). 'Dynamic Model of Heat Exchanger Based on Neural Network'. SET Proceedings, 4(1), pp. 437-439. https://doi.org/10.65582/set.2005.097