Adaptive recurrent neural network control of biological wastewater treatment

2004 ◽  
Vol 20 (2) ◽  
pp. 173-193 ◽  
Author(s):  
Ieroham S. Baruch ◽  
Petia Georgieva ◽  
Josefina Barrera-Cortes ◽  
Sebastiao Feyo de Azevedo
Keyword(s):  
Neural Network ◽  
Wastewater Treatment ◽  
Recurrent Neural Network ◽  
Network Control ◽  
Biological Wastewater Treatment ◽  
Neural Network Control

Study on the Fuzzy Neural Network Control Used in Wastewater Treatment

2011 ◽  
Vol 71-78 ◽  
pp. 3127-3132 ◽  
Author(s):  
Zhong Qi Wang ◽  
Cheng Zhao
Keyword(s):  
Neural Network ◽  
Wastewater Treatment ◽  
Dissolved Oxygen ◽  
Fuzzy Neural Network ◽  
Network Control ◽  
Neural Network Control ◽  
Neural Network Controller ◽  
Network Controller ◽  
Strong Robustness ◽  
Fuzzy Neural

In this paper, we introduce the study on fuzzy neural network control used in wastewater treatment. An effective fuzzy neural network controller is proposed. The simulation result shows that the system gives strong robustness and good dynamic characteristics. It is used to control dissolved oxygen and forecast water quality. The result indicates that the concentration of dissolved oxygen can reach expectation fleetly and effectively. The model has better precision of forecasting and faster speed of convergence.

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