Operational Pattern Optimization for Copper Flash Smelting Process Based on Pattern Decomposition of Fuzzy Neural Networks

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.