Open Access Journal of Engineering Applications
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Gradient Descent Optimization for Surface Acoustic Wave Sensors

Theory and Application

Reza Desai Corresponding 0000-0002-7246-6205
Rajshahi University of Engineering & Technology
Mizanur García
Tokyo Institute of Technology
Ahmed Dlamini
Bangladesh University of Engineering and Technology
Mizanur Kim 0000-0001-9892-7272
Khulna University of Engineering & Technology
31 Mar 2014
pp. 634-661
https://doi.org/10.55555/oajea.2014.3801.032

Abstract

Efficient use of scarce resources in disaster risk reduction demands a deeper understanding of surface acoustic wave sensors. The model parameters were carefully calibrated against a set of field observations obtained from disaster risk reduction. The largest improvement, close to 52%, was obtained for the case with 9 stages. The results support the adoption of the proposed method in routine engineering practice.
Keywords: surface acoustic wave sensorsgradient descent optimizationofdmnetwork securitynumerical simulationmodel predictive control

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