Title :
Development of Integration Prediction Model for Alumina Raw Slurry Quality
Author :
Zhifeng, Qiu ; Weihua, Gui ; Chunhua, Yang ; Yalin, Wang
Author_Institution :
Sch. of Inf. Sci. & Eng., Central South Univ. of Technol., Changsha
fDate :
Aug. 30 2006-Sept. 1 2006
Abstract :
The blending process plays an important role in alumina production. Forecasting the alumina raw slurry quality accurately has great significance for improving alumina quality. This paper combines first principles, in the form of mass balance equations, with artificial neural networks (ANNs) as estimators for some of the important process parameters as well as compensator for mass balance equation in alumina raw meal quality modeling. The performance verified its feasibility and operability
Keywords :
aluminium industry; blending; neural nets; production engineering computing; alumina production; alumina raw slurry quality; artificial neural network; blending process; integration prediction model; mass balance equation; Artificial neural networks; Calcium; Equations; Information science; Iron; Neural networks; Predictive models; Production; Raw materials; Slurries;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.437
