Application of Neural Networks in the Tasks of Automation at Industrial Enterprises

Abstract

currently, it is becoming relevant to use modern data analysis tools for automation of processes at industrial enterprises. One such tool is neural networks, which are heavily used in areas where forecasting and deep understanding of data are required. This article discusses the possibility of using neural networks in the tasks of monitoring and predicting gas imbalance in gas distribution systems. An algorithm for collecting and processing data is proposed, a mechanism for training neural networks and generating predictive values is disassembled, directions for further development of this topic are proposed