The role of neural networks in military intelligence and combat operations
Keywords:
neural networks, UAVs (Unmanned Aerial Vehicles), control, threats, military intelligence, combat operations, training, skill improvement, enemy behavior prediction
Abstract
This article examines the role of neural networks in military conflict and their impact on the outcomes of military operations. Examples of the use of neural networks in various fields of military activity, including intelligence, weapons control and data analysis, are considered. Both advantages and disadvantages of using neural networks in military operations will be considered
References
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2. Hashemian, M., Sadeghi-Niaraki, A., & Moezi, S. A. (2020). Military applications of deep learning. In 2020 11th Power Electronics, Drive Systems & Technologies Conference (PEDSTC) (pp. 545-550). IEEE.
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2. Hashemian, M., Sadeghi-Niaraki, A., & Moezi, S. A. (2020). Military applications of deep learning. In 2020 11th Power Electronics, Drive Systems & Technologies Conference (PEDSTC) (pp. 545-550). IEEE.
3. Krawczyk, P., & Kukla, Ł. (2018). Neural Networks for Cybersecurity and Defense: Reliability, Robustness, and Accountability. IEEE Access, 6, 29648-29657.
4. Maksymenko, K., & Maruschak, P. (2020). Integration of artificial intelligence tools for military intelligence analysis. In 2020 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON) (pp. 687-690). IEEE.
5. Mehdizadeh, M. (2021). Advanced Machine Learning for Cybersecurity and Intelligence Applications. IEEE Access, 9, 40137-40151.
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Published
2023-04-01
How to Cite
Borisov , O. (2023). The role of neural networks in military intelligence and combat operations. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (50), 136-141. https://doi.org/10.36910/6775-2524-0560-2023-50-21
Section
Telecommunications and radio engineering
