Magneto-Dielectric Composites Characterization Using Resonant Sensor and Neural Network Modeling

This article presents a novel way to estimate magnetodielectric composites’ complex permittivity ( $\varepsilon $ ) and permeability ( $\mu $ ). A methodology based on artificial neural network (ANN) modeling is proposed to determine $\varepsilon $ and $\mu $ from $S$ -parameter measurements around 2.45 GHz, obtained using a new microstrip split ring resonator (SRR)-based resonant sensor.