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
Neural Modeling of the Surface Acoustic Wave Resonator Admittance Parameters
Gugliandolo, GiovanniSecondo
;Quattrocchi, Antonino;Crupi, GiovanniPenultimo
;Donato, NicolaUltimo
2021-01-01
Abstract
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 MHzFile in questo prodotto:
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