Study of Effective Parameters on Efficiency of Zinc Extraction From Concentrate by neural networks

Extraction of zinc from concentrate is a function of several parameters. In Atashy.H and et al [1] research, zinc extraction experiments were done in two stages with different operating conditions. These operating conditions contain PH, temperature and time of extraction of each stage, agitation speed and delay time between stages. In this research, artificial neural networks (ANN) were used to model zinc extraction efficiency as a function of mentioned parameter. ANN with one hidden layer and different neurons was employed. The results show that ANN with 8 neurons in hidden layer has good agreement with experimental data of Atashy.H and et al then effect of each parameter was study by ANN model and compared with experimental data.