Abstract
The article presents a mathematical model of the functioning of the technological process of styrene production using neural network technologies. The use of a direct propagation neural network with a single hidden layer trained on an experimental sample is considered. An algorithm for forming a neural network is proposed. The model is implemented as a software module. The results of predicting the process of chemical production of styrene based on real data and recommendations for using the developed model in the process of assessing the industrial safety of particularly dangerous production processes are presented.
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