The paper analyzes forces acting on a piece of raw material in a jaw crusher with a simple motion of the moving jaw, and based on this defines the formula to define the optimal number of revolutions the eccentric shaft. Under the optimum number of revolution the eccentric shaft, the number of revolutions is assumed to ensure that the crusher achieves the maximum crushing capacity.

This paper presents a comparative overview the modeling results of flotation process from the Veliki Krivelj plant. Within the research, a total of ten models were formed using the various methods of soft computing-fuzzy logic, artificial neural networks and hybrid system ANFIS. It was found that the flotation concentration process is best modeled using artificial neural networks, where the best correlation coefficients between the actual and predicted values of copper content in concentrate and tailings, as well as the copper recovery in concentrate are achieved. They also gave the minimal RMSE in all cases.