Abstract
The paper presents the application of support vector regression technique for the modelling of antennas. Two different antennas were modelled with different properties. The first modelling was for a helical antenna with varying parameters to determine the gain of antenna. In the second modelling, an equilateral triangular patch antenna with varying properties for the design was considered for the determination of the directivity of the antenna. The support vector regression modelled both of the antennas very well. In helical antenna, the radial kernel with ν-regression produced only 0.143 dBi average error. In equilateral triangular patch antenna, the radial kernel with ε-regression produced only 0.126 dBi average error.
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Ulker, E.D., Ulker, S. (2021). Determining the Gain and Directivity of Antennas Using Support Vector Regression. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2020. Advances in Intelligent Systems and Computing, vol 1250. Springer, Cham. https://doi.org/10.1007/978-3-030-55180-3_5
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DOI: https://doi.org/10.1007/978-3-030-55180-3_5
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