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Title: Adaptive neuro-fuzzy inference system to compute quasi-TEM characteristic parameters of microshield lines with practical cavity sidewall profiles
Authors: Übeyli, Elif Derya
Güler, İnan
Keywords: adaptive neuro-fuzzy inference system (ANFIS)
microshield lines
quasi-TEM characteristics
conformal mapping
Issue Date: 2006
Publisher: Elsevier Science Bv
Source: 8th Brazilian Symposium on Neural Networks -- SEP 29-OCT 01, 2004 -- Sao Luis, BRAZIL
Abstract: Neural networks have recently been introduced to the microwave area as a fast and flexible vehicle to microwave modeling, simulation and optimization. In this paper, a new approach based on adaptive neuro-fuzzy inference system (ANFIS) was presented for the quasi-TEM characteristics of microshield lines with practical cavity sidewall profiles. The proposed ANFIS model combines the neural network adaptive capabilities and the fuzzy qualitative approach. The ANFIS models were presented to produce a good approximator of the nonlinear relationship between the geometrical parameters and the quasi-TEM characteristics (characteristic impedance and cavity capacitance sensitivity) of microshield lines. The results of the ANFIS models for the characteristic impedance and the cavity capacitance sensitivity of the microshield lines and the results available in the literature obtained by using conformal-mapping technique (CMT) were compared. The drawn conclusions confirmed that the proposed ANFIS models could provide an accurate computation of tile characteristic impedance and the cavity capacitance sensitivity of the microshield lines. (c) 2006 Elsevier B.V. All rights reserved.
ISSN: 0925-2312
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

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