Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6202
Title: Adaptive neuro-fuzzy inference system for gap discontinuities in coplanar waveguides
Authors: Güler, İnan
Übeyli, Derya Elif
Keywords: adaptive neuro-fuzzy inference system (ANFIS)
coplanar waveguides (CPWs)
conformal mapping
gap discontinuity
Issue Date: 2005
Publisher: Taylor & Francis Ltd
Abstract: A new approach based on an adaptive neuro-fuzzy inference system (ANFIS) is presented for gap discontinuities in coplanar waveguides (CPWs). The proposed ANFIS model combines the neural network adaptive capabilities and the fuzzy qualitative approach. The ANFIS is presented so as to produce a good approximation to the nonlinear relationship between the geometrical parameters and the frequency-dependent equivalent circuit parameter (the S-21 parameter of the gap). The ANFIS results for the S-21 parameters are compared with the results available in the literature obtained by using the conformal-mapping technique (CMT), and the results confirm that the proposed ANFIS model can provide an accurate computation of the S-21 parameters of the gaps in CPWs.
URI: https://doi.org/10.1080/00207210512331337668
https://hdl.handle.net/20.500.11851/6202
ISSN: 0020-7217
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender

SCOPUSTM   
Citations

7
checked on Sep 23, 2022

WEB OF SCIENCETM
Citations

7
checked on Sep 24, 2022

Page view(s)

6
checked on Dec 26, 2022

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.