Artificial Intelligence in Aviation

doi: 10.32560/rk.2019.1.15

Abstract

The AI (Artificial Intelligence) and it’s different fields, such as machine learning or deep learning, have gone through huge changes over the years. Although the principles are more than 50 years old, but today’s easily accessible vast amount of data have helped them to reach all aspects of everyday’s life. In the first part of our article, we would like to give a comprehensive picture about the definition, the functions and the classification of the AI, as well as describing those worldwide trends, that shape the present and the future of this field of science. In the second part we introduce the potential possibilities of the technology through aviation applications, together with the notion of the long term use and vision.

Keywords:

artificial intelligence machine learning forecasting SESAR ATM data analyses

How to Cite

[1]
D. Szarvas, D. Rohács, and R. Tichy, “Artificial Intelligence in Aviation”, RepTudKoz, vol. 31, no. 1, pp. 183–204, May 2019.

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