Интеллектульные прогнозирующие модели процессов крупного дробления и самоизмельчения руд

Abstract

Technological processes for coarse crushing and autogenous grinding as controlled objects are analyzed. It was developed its intelligent predictive models, which have optimal structure and parameters for current operating mode that allowed to lower models error and the improving in this process control.