Prediction of material concentration and reaction temperature of cstr process based on sugeno-type fuzzy inference system
Shuo Wen, Jie‐Sheng Wang, Zhu Qing-wen, Xue-Han Fang · 2018
The prediction model of the material concentration and reaction temperature of CSTR process based on the adaptive neural fuzzy inference system is established. The fuzzy logic system and neural network and Sugeno-type fuzzy neural network model were summarized, and three kinds of output parameters optimization algorithm (Kaczmarz algorithm and Gradient algorithm and Kalman algorithm) are introduced. The simulation experiments results show the adaptive neural fuzzy inference system based on the Kalman output parameters optimization algorithm has the optimal prediction precision on the material concentration and reaction temperature of CSTR process.