Aperture coupled dielectric resonator antenna optimisation using machine learning techniques
A Srivastava, H Gupta, AK Dwivedi… - … -International Journal of …, 2022 - Elsevier
In this article, various machine learning (ML) algorithms such as Artificial neural network
(ANN), Random Forest, XG boost, K nearest neighbor (KNN), and Knowledge-based neural
network (KBNN) are used for efficient optimization of dielectric resonator antenna (DRA). ML
models are used to predict the| S11| for a particular set of frequency, resonator height,
aperture radius, and resonator radius. Finally, a comparative performance analysis of
different ML algorithms has been done with the outcomes of the HFSS EM simulator. Error …
(ANN), Random Forest, XG boost, K nearest neighbor (KNN), and Knowledge-based neural
network (KBNN) are used for efficient optimization of dielectric resonator antenna (DRA). ML
models are used to predict the| S11| for a particular set of frequency, resonator height,
aperture radius, and resonator radius. Finally, a comparative performance analysis of
different ML algorithms has been done with the outcomes of the HFSS EM simulator. Error …
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