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

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


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.


Flash Smelting Fuzzy Control Neural Network Simulation 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Wang, J.L., Zhang, C.F., Zeng, Q.Y., Tong, C.R., Zhang, W.H.: Modeling and Optimization of copper Flash Smelting Process Based on Neural Network. The Chinese Journal of Process Engineering 8, 105–109 (2008)Google Scholar
  2. 2.
    Wu, X.L., Lin, Z.H.: MATLAB in Assistant Fuzzy Model Design. XDUPH, Xi’an (2002)Google Scholar
  3. 3.
    Li, Z.Q., Kecman, V., Ichikawa, A.: Fuzzified Neural Network Based on Fuzzy Number Operation. Fuzzy Sets and Systems 130, 291–304 (2002)zbMATHCrossRefMathSciNetGoogle Scholar
  4. 4.
    Ishibuchi, H., Nii, M.: Numerical Analysis of the Leaning of Fuzzified Neural Networks from Fuzzy IF-THEN Rules. Fuzzy Sets and Systems 120, 281–307 (2001)zbMATHCrossRefMathSciNetGoogle Scholar
  5. 5.
    Wang, J.L., Lu, H., Wang, R.L., Zeng, Q.Y.: Analysis of the Effect Factors of Copper Flash Smelting Based on Neural Network. Nonferrous Metals (Extractive Metallurgy) 2, 2–5 (2008)Google Scholar
  6. 6.
    Zeng, Q.Y., Wang, J.L.: Developing of the Copper Flash Smelting Model Based on Neural Networks. Journal of Southern Institute of Metallurgy 24, 15–18 (2003)Google Scholar

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

Personalised recommendations