A DYNAMIC OPTIMIZATION METHOD OF OREBODY CUTOFF GRADE FOR SURFACE MINING BASED ON NEURAL NETWORK

This paper represents a dynamic optimization method of orebody cutoff grade for surfacemining based on neural network. In the method, the maximum net present value is taken as the optimizingobjective and such factors as mining, concentrating and refining capacities, grade distribution and productionscheduling are taken into account.