Scientific Reports, Volume (13), No (1), Year (2023-9)

Title : ( Crosstalk tolerance analysis of coupled-line structures using least square-support vector machine technique )

Authors: Mohammad Alijani Ghadikolaei , Mohammad Hassan Neshati ,

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Abstract

In this paper, crosstalk sensitivity analysis of a microwave coupled-line structure due to the fabrication imperfections is investigated using Least Square-Support Vector Machine (LS-SVM) method. Since LS-SVM uses a set of linear equations instead of a convex quadratic programming problem, the computational cost is extremely reduced compared to that of the well-known Monte Carlo (MC) analysis or even Support Vector Machine (SVM) without decreasing the accuracy. Using this method, the geometrical parameters of the coupled-line are assumed to be randomly distributed using the Latin Hypercube function and the variation range of each parameter is set to± 50% around its central value. The frequency response of the coupled-line is estimated and compared with those of the measured and simulation ones for a few well-known practical case studies. The results show that the LS-SVM procedure quickly predicts the worst-case crosstalk expectation values and accurately anticipates the probability of obtaining various outcomes of the coupled-line for the specifed parameter variation over a wide frequency range.

Keywords

, Crosstalk, tolerance analysis, support vector machine, least square
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@article{paperid:1095749,
author = {Alijani Ghadikolaei, Mohammad and Neshati, Mohammad Hassan},
title = {Crosstalk tolerance analysis of coupled-line structures using least square-support vector machine technique},
journal = {Scientific Reports},
year = {2023},
volume = {13},
number = {1},
month = {September},
issn = {2045-2322},
keywords = {Crosstalk; tolerance analysis; support vector machine; least square},
}

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%0 Journal Article
%T Crosstalk tolerance analysis of coupled-line structures using least square-support vector machine technique
%A Alijani Ghadikolaei, Mohammad
%A Neshati, Mohammad Hassan
%J Scientific Reports
%@ 2045-2322
%D 2023

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