DocumentCode
3342236
Title
Research on predictive control of coagulant dosage based on neural network
Author
Zhe-Ying Song ; Xue-Ling Song ; Ying-Bao Zhao ; Chao-Ying Liu
Author_Institution
Coll. of Electr. Eng. & Informational Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Volume
1
fYear
2011
fDate
26-28 July 2011
Firstpage
217
Lastpage
221
Abstract
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.
Keywords
coagulation; neural nets; optimal control; predictive control; regression analysis; water treatment; neural network; optimal coagulant dosage process; predictive control model; regression model; Coagulation; Prediction algorithms; Predictive control; Predictive models; Pumps; Training; coagulant dosage; neural network; predictive control; regression model;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022072
Filename
6022072
Link To Document