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Application of Neural Networks in the Modelling of Dielectric Resonator Antenna Arrays

In this paper, a method to incorporate neural networks in the circuit modeling of a dielectric resonator antenna (DRA) array is presented. The neural networks are used to capture the coupling effect between elements of the DRA array at different element spacing to develop a fully adjustable circuit model. The result is a design environment that allows for accurate real-time simulations of DRA arrays that can be used to optimize DRA array.