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Gaussian process (GP) regression, a structured supervised learning alternative to neural networks for the fast modeling of antenna characteristics, is applied to modeling S11 and gain against frequency of a dual-band microstrip patch antenna with separate tuning strips on a three-layer substrate. Since the two frequency bands of the antenna are relatively narrow, the function underlying the variation...
Gaussian process (GP) regression, a structured supervised learning alternative to neural networks for the fast modeling of antenna characteristics, is applied to modeling S11 and gain against frequency of a dual-band microstrip patch antenna with separate tuning strips on a three-layer substrate. Since the two frequency bands of the antenna are relatively narrow, the function underlying the variation...
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