Microwave characterization using partial least square regression

dc.contributor.author	SADOU, Hakim
dc.contributor.author	HACIB, Tarik
dc.contributor.author	LE BIHAN, Yan
dc.contributor.author	AÇIKGÖZ, Hulusi
dc.contributor.author	MEYER, Olivier
dc.date.accessioned	2020-08-07T12:55:54Z
dc.date.available	2020-08-07T12:55:54Z
dc.date.issued	2017
dc.identifier	10.1109/CEFC.2016.7816381
dc.identifier.issn	9781509010325 (ISBN)
dc.identifier.uri	http://hdl.handle.net/20.500.12498/2976
dc.description.abstract	Inverse problems for determination of dielectric materials properties (complex permittivity) are usually solved by iterative methods using numerically based forward model. These methods are computationally expensive. In this paper, we propose a fast inversion model based on partial least square regression (PLSR). The idea is to build a model able to predict in real time the properties of the sample under test using measurements of admittance or reflexion coefficient of the propagating electromagnetic micro wave along the coaxial line. Numerical solution of the direct problem is made using Finite Element Method (FEM). © 2016 IEEE.
dc.language.iso	English
dc.publisher	Institute of Electrical and Electronics Engineers Inc.
dc.source	17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016
dc.source.uri	https://ieeexplore.ieee.org/document/7816381
dc.title	Microwave characterization using partial least square regression
dc.type	Konferans Bildirisi