APPLICATION OF MACHINE LEARNING METHODS IN AUTOMATED AIR TRAFFIC MANAGEMENT SYSTEMS

Authors: Peshko E.V., Kondryakova M.A.
IRSTI 73.37.11

Abstract. The purpose of the research presented in the article is to identify machine learning methods and algorithms that can improve the safety, efficiency and economy of air traffic. The article contains the results of a review of information and scientific and technical materials on modern machine learning technologies developed and used in automated air traffic management systems.

Key words: machine learning, neural networks, ATM systems, clustering, artificial intelligence.