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, Giovanni
Secondo
;
Quattrocchi, Antonino;Crupi, Giovanni
Penultimo
;
Donato, Nicola
Ultimo
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 MHz
2021
978-1-6654-4442-2
978-1-6654-4443-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3219146
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