Modeling of Distillation Tower Temperature Based on D-FNN
Distillation temperature control system is characteristics of nonlinear time-varying and we use dynamic fuzzy neural network to model the temperature of distillation. Firstly, we introduce the structure and algorithm of dynamic fuzzy neural network; Second, after data preprocessing of distillation process, we use dynamic Fuzzy neural network modeling the temperature of distillation. Dynamic fuzzy neural network adopt dynamic learning algorithm, and characteristic of approximation. The simulation results show the effect and accuracy of Dynamic fuzzy neural network model ing method.
S. Z. Gao et al., "Modeling of Distillation Tower Temperature Based on D-FNN", Advanced Materials Research, Vols. 383-390, pp. 1463-1469, 2012