APPLICATION OF ARTIFICIAL INTELLIGENCE ELEMENTS FOR MODELING HYDRODYNAMIC PARAMETERS OF TRAWL SPACER BOARDS

UDC 519.688
DOI: 10.36871/2618-9976.2023.11.007

Authors

Vitaly A. Peleshenko,
Candidate of Technical Sciences, Associate Professor of the Department of Data Analysis and Machine Learning, Financial University under the Government of the Russian Federation, Moscow, Russia

Abstract

The article is devoted to the application of artificial intelligence elements for modeling hydrodynamic parameters of trawl spacer boards. In particular, the creation of machine learning models based on CFD experiments of trawl spacer boards with structural characteristics.

Keywords

Artificial intelligence, Machine learning, Hydrodynamics