Neural Modeling of the Surface Acoustic Wave Resonator Admittance Parameters

Surface acoustic wave (SAW) resonators have found applications in different engineering fields, spanning from telecommunications to bioengineering. In this paper a model of a SAW resonator based on the artificial neural networks (ANNs) is proposed. ANNs are exploited to model the frequency dependence of the admittance parameters for a two-port packaged SAW resonator with a nominal resonant frequency of 423.2 MHz.