POSSIBLE APPLICATIONS OF ARTIFICIAL INTELLIGENCE ALGORITHMS IN F-16 AIRCRAFT

Autor: Tomasz KRAWCZYK, Mateusz PAPIS, Radosław BIELAWSKI, Witold RZĄDKOWSKI
Jazyk: English<br />Polish
Rok vydání: 2024
Předmět:
Zdroj: Scientific Journal of Silesian University of Technology. Series Transport, Vol 123, Pp 101-131 (2024)
Druh dokumentu: article
ISSN: 0209-3324
2450-1549
DOI: 10.20858/sjsutst.2024.123.5
Popis: The F-16 aircraft, widely used by the Polish Army Air Force, requires modifications based on Artificial Intelligence (AI) algorithms to enhance its combat capabilities and performance. This study aims to develop comprehensive guidelines for this purpose by first describing F-16 systems and categorizing AI algorithms. Machine learning, deep learning, fuzzy logic, evolutionary algorithms, and swarm intelligence are reviewed for their potential applications in modern aircraft. Subsequently, specific algorithms applicable to F-16 systems are identified, with conclusions drawn on their suitability based on system features. The resultant analysis informs potential F-16 modifications and anticipates future AI applications in military aircraft, facilitating the guidance of new algorithmic developments and offering benefits to similar aircraft types. Moreover, directions for future research and development work are delineated.
Databáze: Directory of Open Access Journals