This paper presents a preliminary study on the performance of the vector-valued kernel Ridge regression in complex-valued regression problems. The proposed approach is applied for the modeling of the scattering parameters of a slotted ground PCB structure as a function of 2 parameters. The effectiveness of the proposed modeling scheme in terms of both training time and accuracy is assessed for an increasing number of training samples.

Vector-Valued Kernel Ridge Regression for the Modeling of the Scattering Parameters of a Slotted Ground PCB Structure / Soleimani, Nastaran; Bradde, Tommaso; Manfredi, Paolo; Stievano, Igor; Trinchero, Riccardo. - ELETTRONICO. - (2024). (Intervento presentato al convegno 4th URSI Atlantic Radio Science Meeting (AT-RASC) tenutosi a Meloneras (Spain) nel 19-24 May, 2024) [10.46620/URSIATRASC24/QEMA5566].

Vector-Valued Kernel Ridge Regression for the Modeling of the Scattering Parameters of a Slotted Ground PCB Structure

Soleimani, Nastaran;Bradde, Tommaso;Manfredi, Paolo;Stievano, Igor;Trinchero, Riccardo
2024

Abstract

This paper presents a preliminary study on the performance of the vector-valued kernel Ridge regression in complex-valued regression problems. The proposed approach is applied for the modeling of the scattering parameters of a slotted ground PCB structure as a function of 2 parameters. The effectiveness of the proposed modeling scheme in terms of both training time and accuracy is assessed for an increasing number of training samples.
2024
9789463968102
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2991020