Results of Using Neural Networks for Technological Processes Control of Iron Mill

Abstract

The article deals with the problem of optimization complex processes of mining and processing complexes of the Republic of Kazakhstan. In the article characteristics of used control systems were analyzed and it revealed the necessity of the use of non-existing approaches to “fine” adjustment of adaptive control systems. On the basis of the research the author proposes the structure of an adaptive control system grinding process, built using an artificial neural network with radial basis function. To evaluate the effectiveness of the developed system was evaluated reducing power consumption parameter and was proved the possibility of reducing power consumption using the system by 6.9%.