An approach based on ANFIS and input selection procedure for microwave characterization of dielectric materials
Sadou, Hakim and Hacib, Tarik and Acikgoz, Hulusi and Le-Bihan, Yann and
Meyer, Olivier and Mekideche, Mohamed Rachid
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Abstract
PurposeThe 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 (epsilon = epsilon - j epsilon) on a broad band
frequency (f from 1 MHz to 1.8 GHz).
Design/methodology/approachThe 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.
FindingsInversion 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/valueThe 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).... Show more Show less