A simple model for predicting optimal weight recovery of industrial iron ore processing - case chicly: Iranian iron ore mines

One of the most important criteria in iron ore mining is predicting the optimal iron weight recovery of the processing plant which we intend to feed to a processing plant or sell. It is usually determined by the Davis tube in the laboratory located at the mine. The Davis tube test requires a long time, manpower and incurs high cost. To solve this problem, in this paper, a simple, fast and accurate model of optimal weight recovery using the Multivariate Adaptive Regression Spline (MARS) technique was proposed and validated by about 9000 data collected from various Iranian iron ore mines. The values of R-square and Root Mean Square Error (RMSE) obtained 0.981 and 2.364 for the training stage, respectively. In the case of the testing stage, Rsquare and RMSE values were equal to 0.978 and 2.538, respectively. Accordingly, the proposed model can be useful for quick decision-making before, during and after mine exploitation operations without the daily Davis tube test.