INTELLIGENT PROCESS CONTROL FORECASTING SYSTEM BASED ON ARTIFICIAL NEURAL NETWORK

The research is aimed at developing a neural network model for network data processing, which can be used to control technological processes in modern metallurgical production at various stages of metal processing. The proposed system is characterized by high speed, accuracy, reliability and efficiency, which contributes to improving product quality. The system includes a cluster of network sensors that can be reconfigured and connected to a high-performance distributed system. It also provides a mechanism for redundancy of key components and is aimed at increasing the efficiency of the technological process at each stage.