文档介绍：Available online at
SCIENCE DIRECT0 Transactions of
@ Nonferrous Metals
Science Society of China
Trans. Nonferrous Met. 17(2007) 1075- 108 I
Press ~ ~
/ysxb/
Intelligent prediction model of matte grade in copper flash smelting process
GUI Wei-hua(***@fEq), WANG Ling-yun( E&Z),YANG Chun-hua( PBBq),
XIE Yong-fang( iB7k %), PENG Xiao-bo($j €%%)
School of Information Science and Engineering, Central South University, Changsha 4 10083, China
Received 26 December 2006; accepted 28 June 2007
Abstract: Due to the importance of detecting the matte grade in the copper flash smelting process, the mechanism model was
established according to the multi-phase and ponent mathematic model. Meanwhile this procedure was plicated
production process with characteristics of large time delay, nonlinearity and so on. A fuzzy work model was set up through
a great deal of production data. Besides a novel constrained gradient descent algorithm used to update the parameters was put
forward to improve the parameters learning efficiency. Ultimately the self-bination technology was adopted to
paralleled integrate two models in order to obtain the prediction model of the matte grade. Industrial data validation shows that the
intelligently integrated model is more precise than a single model. It can not only predict the matte grade exactly but also provid