Estimation and Improvement of Recovery of Low Grade Copper Oxide Using Sulfide Activation Flotation Method Based on GA–BPNN

Copper oxide ore is an important copper resource. For a certain in Yunnan, China, experiments have been conducted on the grinding fineness, collector dosage, sodium sulfide inhibitor and activator dosage. The results showed that, by controlling above conditions, better flotation indices of are obtained. Additionally, ammonium bicarbonate ethylenediamine phosphate enhanced ore, whereas combined agent exhibited performance than either individual activator. In addition, to optimize all conditions more reasonable way, combination 5-11-1 genetic algorithm back propagation neural network (GA–BPNN) was used set up mathematical optimization model. (BPNN) model that R2 value 0.998, were accordance with requirement After 4169 iterations, error objective function 0.001, which met convergence requirements for final solution. (GA) BPNN 100 generations, recovery 87.62% achieved under following conditions: fineness 0.074 mm, accounted 91.7%; dosage 487.7 g/t; 1157.2 537.8 298.9 g/t. Using amine salt enhance activation efficiency, GA–BPNN achieve goal global optimizations good