Neural networks as a key and promising direction of the development and application of artificial intelligence in the activities of industrial enterprises

Aim. To present to the scientific community a promising direction for the development and application of artificial intelligence in the main business processes of industrial enterprises.

Methodology. When conducting the study, the following methods were used as the main methods: system analysis, deduction and modeling. These research methods make it possible to systematize the development and application of neural networks in the business processes of industrial enterprises.

Results. The types of neural networks are considered; compared two mathematical models of the action of perceptrons according to Rosenblatt and Rumelhart; the differences between the neural network model and the neural network regression model are presented; identified risks and trends in the use of artificial neural networks in the business processes of industrial enterprises.

Research implications. The development of theoretical aspects of the application of neural networks is a promising direction in the field of modernization of the main business processes of industrial enterprises.

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