Modeling of Distillation Tower Temperature Based on D-FNN

2011 ◽  
Vol 383-390 ◽  
pp. 1463-1469
Author(s):  
Shu Zhi Gao ◽  
Jing Yang ◽  
Jun Fan

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.

2002 ◽  
Vol 122 (2-3) ◽  
pp. 196-200 ◽  
Author(s):  
Qian Hancheng ◽  
Xia Bocai ◽  
Li Shangzheng ◽  
Wang Fagen

2004 ◽  
Vol 37 (4) ◽  
pp. 523-530 ◽  
Author(s):  
Taizo Hanai ◽  
Naoya Iwata ◽  
Takeshi Furuhashi ◽  
Hiroyuki Honda ◽  
Takeshi Kobayashi

Sign in / Sign up

Export Citation Format

Share Document