параметрична ідентифікація

Identification of parameters of interval nonlinear models of static systems using multidimensional optimization

The article proposes an approach to parametric identification of interval nonlinear models of static systems based on the standard problem of minimizing the root mean square deviation between the values ​​of the modeled characteristics of the static object and the values ​​belonging to the experimental intervals.

The study of parametric identification algorithm in the model of financial flows integrated processes in the enterprise

Optimization of financial flows, a key aspect of logistics achieved by attracting and allocation of financial resources implemented in financial flows logistics integrated processes in enterprises. Currently, the preparation, organization and management of logistics processes important to follow certain requirements to financial flows such parameters as the adequacy, efficiency and reliability.