MODELING OF FISHERY RESERVOIRS IN THE CONDITIONS OF UNCERTAINTY OF THE INITIAL INFORMATION

UDC 693.3
DOI: 10.36871/2618-9976.2022.07-2.002

Authors

Nikita V. Vorobjev
Senior Manager of the Non-Profit Partnership Company "Rusoft", St. Petersburg, Russia

Abstract

The article presents the model of fish productivity of a reservoir based on ayesian intelligent technologies (BIT). Conceptual and working BITmodels of a fishery reservoir, a posteriori scales and probabilities of integral factor hypotheses are presented. The effectiveness of the proposed methodology in comparison with the existing one is determined.

Keywords

Bayesian intelligent measurement, Scaling, Monitoring systems of complex objects