№2 (57), 2021. AUTOMATION AND CONTROL OF TECHNOLOGICAL PROCESSES AND PRODUCTIONS

N.V. Sukhanova, S.A. Sheptunov

The neural network models of equipment and technological processes in mechanical engineering and their application in automated control systems

The purpose of the study is to reduce the cost of development and operation of automated control systems. Research methods – modeling, artificial neural networks. The obtained results – new neural network models of equipment and technological processes in mechanical engineering are proposed. Models are implemented on the basis of switching neural networks. The switching structure of neural networks allows you to modify, complement and complicate models at all stages of the life cycle.

Keywords: automated control systems ACS, neural network models of equipment and technological processes, switching structure, artificial neural networks.

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