To read this content please select one of the options below:

An approach based on ANFIS and input selection procedure for microwave characterization of dielectric materials

Hakim Sadou (Laboratoire L2EI, Faculté des Sciences et de la Technologie, Université de Jijel, Jijel, Algérie)
Tarik Hacib (Laboratoire L2EI, Faculté des Sciences et de la Technologie, Université de Jijel, Jijel, Algérie)
Hulusi Acikgoz (Department of Electrical and Electronics Engineering, KTO Karatay Universitesi, Konya, Turkey)
Yann Le-Bihan (Laboratoire GeePs, CentraleSupelec, UMR 8507 CNRS, Sorbonne Université, Université Paris-Sud, Gif-sur-Yvette, France)
Olivier Meyer (Laboratoire GeePs, CentraleSupelec, UMR 8507 CNRS, Sorbonne Université, Université Paris-Sud, Gif-sur-Yvette, France)
Mohamed Rachid Mekideche (Laboratoire L2EI, Faculté des Sciences et de la Technologie, Université de Jijel, Jijel, Algérie)

Abstract

Purpose

The principle of microwave characterization of dielectric materials using open-ended coaxial line probe is to link the dielectric properties of the sample under test to the measurements of the probe admittance (Y(f) = G(f)+ jB(f )). The purpose of this paper is to develop an alternative inversion tool able to predict the evolution of the complex permittivity (ε = ε′ – jε″) on a broad band frequency (f from 1 MHz to 1.8 GHz).

Design/methodology/approach

The inverse problem is solved using adaptive network based fuzzy inference system (ANFIS) which needs the creation of a database for its learning. Unfortunately, train ANFIS using f, G and B as inputs has given unsatisfying results. Therefore, an inputs selection procedure is used to select the three optimal inputs from new inputs, created mathematically from original ones, using the Jang method.

Findings

Inversion results of measurements give, after training, in real time the complex permittivity of solid and liquid samples with a very good accuracy which prove the applicability of ANFIS to solve inverse problems in microwave characterization.

Originality/value

The originality of this paper consists on the use of ANFIS with input selection procedure based on the Jang method to solve the inverse problem where the three optimal inputs are selected from 26 new inputs created mathematically from original ones (f, G and B).

Keywords

Citation

Sadou, H., Hacib, T., Acikgoz, H., Le-Bihan, Y., Meyer, O. and Mekideche, M.R. (2018), "An approach based on ANFIS and input selection procedure for microwave characterization of dielectric materials", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 37 No. 2, pp. 799-813. https://doi.org/10.1108/COMPEL-05-2017-0208

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

Related articles