№3 (58), 2021. MANAGEMENT OF INDUSTRIAL ENTERPRISES, MATHEMATICAL AND INSTRUMENTAL METHODS OF ECONOMICS

A.A. Nekhrest-Bobkova, A.A. Burdina

The approximation of socio-economic risk function for oil pipeline with least-squar es method

The problem of the risk of an emergency on an oil pipeline estimation is considered. In this paper, socio-economic risk function is estimated with LSM. Neural network modeling is used when the dependencies between input and output data are implicit. Trained neural network generates values and an analytical expression is obtained explicitly in the form of a firstorder regression.

Keywords: neural networks, socio-economic risk, oil pipeline security, Least-Squares Method.

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