Research on predictive control of coagulant dosage based on neural network

By analyzing the characters of coagulant dose process and factors related to coagulation, a predictive model of optimal coagulant dosage based on neural network is proposed in this paper. Historical data were used to simulate, the results show that this model is better than the traditional regression model. At last, an effective predictive control strategy of coagulant dosage is put forward based on this model, which offers an effective way for achieve the optimal coagulant dosing.