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Benatia Djamel
University of Batna 2 (Mostefa Benboulaid)
Computer Science & IT Engineering

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Comparative between (LiNbO3) and (LiTaO3) in detecting acoustics microwaves using classification Hafdaoui Hichem; Benatia Djamel
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 8, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1958.975 KB) | DOI: 10.11591/ijai.v8.i1.pp33-43

Abstract

Our work is mainly about detecting acoustics microwaves in the type of BAW (Bulk acoustic waves), where we compared between Lithium Niobate (LiNbO3) and Lithium Tantalate (LiTaO3), during the propagation of acoustic microwaves in a piezoelectric substrate. In this paper, We have used the classification by Probabilistic Neural Network (PNN) as a means of numerical analysis in which we classify all the values of the real part and the imaginary part of the coefficient attenuation with the acoustic velocity for conclude whichever is the best in utilization for generating bulk acoustic waves.This study will be very interesting in modeling and realization of acoustic microwaves devices (ultrasound) based on the propagation of acoustic microwaves.
Co-Authors Hafdaoui Hichem