This paper deals with the application of the artificial neural networks (ANNs) for modeling the performance of four commercial two-port surface acoustic wave (SAW) resonators. ANNs are used to reproduce the frequency-dependent behaviour of the short-circuit input admittance, thereby enabling a fast and accurate estimation of the resonant parameters.
Application of Artificial Neural Networks for Modeling of the Frequency-Dependent Performance of Surface Acoustic Wave Resonators
Gugliandolo G.Secondo
;Campobello G.;Crupi G.Penultimo
;Donato N.Ultimo
2021-01-01
Abstract
This paper deals with the application of the artificial neural networks (ANNs) for modeling the performance of four commercial two-port surface acoustic wave (SAW) resonators. ANNs are used to reproduce the frequency-dependent behaviour of the short-circuit input admittance, thereby enabling a fast and accurate estimation of the resonant parameters.File in questo prodotto:
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