Title :
Operational Pattern Optimization for Copper Flash Smelting Process Based on Pattern Decomposition of Fuzzy Neural Networks
Author :
Peng, Xiaobo ; Gui, Weihua ; Li, Yonggang ; Hu, Zhikun ; Wang, Lingyun
Author_Institution :
Central South Univ., Changsha
fDate :
May 30 2007-June 1 2007
Abstract :
Operational pattern describe a set of on line operational parameters which need to be determined on line. This article proposes operational patterns optimization for copper flash smelting process based on pattern decomposition of fuzzy neural networks. Firstly, the optimal samples set is filtered from the historical samples set. Secondly, this article applies pattern decomposition based on fuzzy neural networks. Finally, chaotic genetic algorithm is used to search the optimal operational sub-pattern. This method is applied in copper flash smelting process which is improved. This method can proved instructs for production.
Keywords :
copper; fuzzy neural nets; genetic algorithms; production engineering computing; smelting; chaotic genetic algorithm; copper flash smelting; fuzzy neural networks; operational pattern optimization; pattern decomposition; Chaos; Copper; Data mining; Furnaces; Fuzzy logic; Fuzzy neural networks; Genetic algorithms; Pattern recognition; Production; Smelting; chaotic genetic algorithm; copper flash smelting; operation pattern; pattern decomposition; pattern optimization;
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0817-7
Electronic_ISBN :
978-1-4244-0818-4
DOI :
10.1109/ICCA.2007.4376777
