Implementing Machine Learning for Design and Evaluation of Antenna Parameters
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-47942-7_20
Reference9 articles.
1. Akinsolu, M.O., Mistry, K.K., Liu, B., Lazaridis, P.I., Excell, P.: Machine learning-assisted antenna design optimization: a review and the state-of-the-art. In: 2020 14th European Conference on Antennas and Propagation (EuCAP), pp. 1–5 (2020). https://doi.org/10.23919/EuCAP48036.2020.9135936
2. Chen, Y., Elsherbeni, A.Z., Demir, V.: Machine learning for microstrip patch antenna design: observations and recommendations. In: 2022 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), pp. 256–257 (2022). https://doi.org/10.23919/USNC-URSINRSM57467.2022.9881476
3. El Misilmani, H.M., Naous, T., Al Khatib, S.K.: A review on the design and optimization of antennas using machine learning algorithms and techniques. Int. J. RF Microw. Comput. Aided Eng. 30(10) (2020). https://doi.org/10.1002/mmce.22356
4. Gampala, G., Reddy, C.J.: Fast and intelligent antenna design optimization using machine learning. Appl. Comput. Electromag. Soc. 35(11), 1350–1351 (2021). https://doi.org/10.47037/2020.ACES.J.351144
5. Haque, M.A., Sarker, N., Sawaran Singh, N.S., Rahman, M.A., Hasan, M.N., Islam, M., Zakariya, M.A., Paul, L.C., Sharker, A.H., Abro, G.E.M., Hannan, M., Pk, R.: Dual band antenna design and prediction of resonance frequency using machine learning approaches. Appl. Sci. 12(20), 10505 (2022). https://doi.org/10.3390/app122010505
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