Álvarez Botero, Germán Andrés

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https://academica-e.unavarra.es/handle/2454/50616

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Álvarez Botero

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Germán Andrés

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Ingeniería Eléctrica, Electrónica y de Comunicación

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ISC. Institute of Smart Cities

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0000-0002-1143-6104

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751433

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811966

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Subject: Artificial neural networks (ANNs) ×

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    PublicationOpen Access
    Magneto-dielectric composites characterization using resonant sensor and neural network modeling
    (IEEE, 2024) Álvarez Botero, Germán Andrés; Lobato-Morales, Humberto; Hui, Katherine; Tarabay, Naji; Sánchez-Vargas, Jeu; Vélez, Camilo; Méndez-Jerónimo, Gabriela; Ingeniería Eléctrica, Electrónica y de Comunicación; Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza
    This article presents a novel way to estimate magnetodielectric composites’ complex permittivity (ε) and permeability (µ). A methodology based on artificial neural network (ANN) modeling is proposed to determine ε and µ from S-parameter measurements around 2.45 GHz, obtained using a new microstrip split ring resonator (SRR)-based resonant sensor.