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Research of the Matte Grade Model of Copper Flash Smelting Process Based on ANFIS

  • Qingyun ZengEmail author
  • Jinliang Wang
  • Chuanfu Zhang
Chapter
  • 151 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 129)

Abstract

The matte grade model of copper flash smelting process, which has the net-structure of 8 put-in, 1 put-out nodes and the membership functions are 5, 3, 5, was developed based on Adaptive Network-Fuzzy Inference System and by using the practical data from one copper smelter. The results indicated that the average absolute error of training samples is 0.087%, the relative error percentage is 0.15%, and the average absolute error of checking samples is 0.0079%, and the relative error percentage is 0.014%. It means that the simulative results accord to the practical data, and the model has good reference value on process optimized control of copper flash smelting. It also can be used to the industrial online control replacing the static burden model.

Keywords

Flash Smelting Fuzzy Control Neural Network Simulation 

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References

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.School of Materials and Chemical EngineeringJiangxi University of Science and TechnologyGanzhouChina
  2. 2.School of Metallurgical Science and EngineeringCentral South UniversityChangshaChina

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