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tom 2
100-112
EN
The aim of the research was to create such a calculation model for the air defense efficiency that will enable to determine the degree of implementation of the task by anti-aircraft defense forces in combat conditions. The innovative approach to the efficiency of air defense presented in the article focuses on the methods and algorithms enabling the assessment of the feasibility of the air defense task. In its general form, it is based on the determination of the probable number of air assault assets intended for the implementation of an air task (destruction, incapacitation, disorganization of the cover object) and the possibility of air defense sets (means) to repel an air attack. The research was conducted with the use of qualitative methods – when determining the elements of protection or tactical and technical data. The results of the presented research can be implemented in the command process in air defense.
EN
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.
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