Neural Network-Based CAD Model for the Design of Hemispherical Dielectric Resonator Antenna with a Concentric Conductor

Radial-Basis Function Neural Network (RBF-NN) is presented for calculating the dimensions of the probe-fed hemispherical dielectric-resonator antenna (DRA) with a concentric conductor. Simple formulas for the resonant frequency and the Q-factor are used. The RBF-NN is trained to calculate the resonant frequency and the Q-factor of the DRA antenna, when the inputs are the conductor radius and the relative dielectric constant The RBF-NN is also trained to calculate the conductor radius when the resonant frequency and the Q-factor are known.