Open Access
| Issue |
JNWPU
Volume 44, Number 1, February 2026
|
|
|---|---|---|
| Page(s) | 185 - 193 | |
| DOI | https://doi.org/10.1051/jnwpu/20264410185 | |
| Published online | 27 April 2026 | |
- Möller D P F. Machine learning and deep learning[M]. Cham: Springer Nature Switzerland, 2023: 347–384 [Google Scholar]
- Zhang Hongpeng, Huang Changqiang, Tang Shangqin, et al. CNN-based real-time prediction method of flight trajectory of unmanned combat aerial vehicle[J]. Acta Armamentarii, 2020, 41(9): 1894–1903 (in Chinese) [Google Scholar]
- Fu Maoming, Chen Jizong. LSTM model-based flight trajectory prediction for airport flights[J]. Modern Computer, 2022, 28(14): 55–60 (in Chinese) [Google Scholar]
- Hu Y C, Dai J, Yi J, et al. The high-speed aircraft trajectory prediction method based on deep learning network[J]. Journal of Physics, 2023, 2489(1): 012023 [Google Scholar]
- Fang Wei, Tang Miao, Yan Wenjun, et al. Flight trajectory prediction based on residual neural network and LSTM[J]. Ship Electronic Engineering, 2023, 43(10): 42–46 (in Chinese) [Google Scholar]
- Zhang Zongteng, Zhang Lin, Wang Wenfeng, et al. A method for UAV flight trajectory prediction based on bidirectional GRU[J]. Electronics Optics & Control, 2022, 29(3): 11–15 (in Chinese) [Google Scholar]
- Liu Z, Wang Y, Vaidya S, et al. KAN: Kolmogorov-Arnold networks[EB/OL]. (2024-04-30)[2026-01-24]. [Article]. [Google Scholar]
- Dai Y, Yu W, Leng M. A hybrid ensemble optimized BiGRU method for short-term photovoltaic generation forecasting[J]. Energy, 2024, 299: 131458. [Article] [Google Scholar]
- Somvanshi S, Javed S A, Islam M M, et al. A survey on Kolmogorov-Arnold network[J]. ACM Computing Surveys, 2025, 58(2): 1–35 [Google Scholar]
- Polar A, Poluektov M. A deep machine learning algorithm for construction of the Kolmogorov-Arnold representation[J]. Engineering Applications of Artificial Intelligence, 2021, 99: 104137. [Article] [Google Scholar]
- Yuan Lining, Feng Wengang, Liu Zhao. Node classification based on Kolmogorov-Arnold network[J]. Journal of Frontiers of Computer Science and Technology, 2025, 19(3): 645–656 (in Chinese) [Google Scholar]
- Al-Qaness M A A, Ni S. TCNN-KAN: optimized CNN by Kolmogorov-Arnold network and pruning techniques for sEMG gesture recognition[J]. IEEE Journal of Biomedical and Health Informatics, 2025, 29(1): 188–197. [Article] [Google Scholar]
- Ren D, Hu Q, Zhang T. EKLT: Kolmogorov-Arnold attention-driven LSTM with transformer model for river water level prediction[J]. Journal of Hydrology, 2025, 649: 132430. [Article] [Google Scholar]
- Sidharth S S, Keerthana A R, Gokul R, et al. Chebyshev polynomial-based Kolmogorov-Arnold networks: an efficient architecture for nonlinear function approximation[J/OL]. (2024-05-12)[2026-01-24]. [Article] [Google Scholar]
- Vaca-Rubio C J, Blanco L, Pereira R, et al. Kolmogorov-Arnold networks(KANs) for time series analysis[C]//2024 IEEE Globecom Workshops, Cape Town, South Africa, 2024. [Google Scholar]
- Zhang Kun, Du Ruiyi, Shi Haotian, et al. Prediction of aircraft trajectory based on Mogrifier-BiGRU[J]. Acta Armamentarii, 2024, 45(2): 373–384 (in Chinese) [Google Scholar]
- Luo Kaiwei, Zhou Jiliu. Flight trajectory prediction method based on large language models[J]. Application Research of Computers, 2025, 42(12): 3644–3650 (in Chinese) [Google Scholar]
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