Abstract: In view of the characteristics of nontoxic gold extraction process, a control algorithm of fuzzy neutral network based on genetic algorithm is proposed. The parameters of fuzzy neural network are optimized by integrating offline genetic algorithm global optimization with online BP algorithm local regulation. The improved Elman dynamic recursive network is adopted for the process system identification. The simulation has proven the superiority of this control scheme, which is of important significance to the solution of the control system of industrial nontoxic gold extraction process.

Key words: Nontoxic gold extraction process, Fuzzy neural network, Genetic algorithm, Elman network