loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06)
Development of Integration Prediction Model for Alumina Raw Slurry Quality
Beijing, China
August 30-September 01
ISBN: 0-7695-2616-0
Qiu Zhifeng, Central South University
Gui Weihua, Central South University
Yang Chunhua, Central South University
Wang Yalin, Central South University
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.
Citation:
Qiu Zhifeng, Gui Weihua, Yang Chunhua, Wang Yalin, "Development of Integration Prediction Model for Alumina Raw Slurry Quality," icicic, vol. 3, pp.128-131, First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.