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Browsing by UP Author "Jacobs, Jan Pieter"
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Jacobs, Jan Pieter
(Institute of Electrical and Electronics Engineers, 2012)
The modeling of microwave antennas and devices typically
requires that non-linear input-output mappings be determined between a
set of variable parameters (such as geometry dimensions and frequency),
and the corresponding ...
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Jacobs, Jan Pieter
(Institution of Engineering and Technology, 2016-08)
A procedure is presented for characterising the effects of varying finite substrate/ground plane size on the gain
properties of microstrip antennas by means of Gaussian process regression (GPR). Two kinds of microstrip ...
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Jacobs, Jan Pieter; Koziel, S.; Ogurtsov, S.
(Institute of Electrical and Electronics Engineers, 2013)
Bayesian support vector regression (BSVR) modeling of
planar antennas with reduced training sets for computational efficiency
is presented. Coarse-discretization electromagnetic (EM) simulations are
exploited in order ...
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Jacobs, Jan Pieter; Koziel, S.
(Wiley, 2014-01)
A computationally efficient method is presented for setting up accurate Bayesian support vector regression (BSVR) models of the highly nonlinear |S21| responses of planar microstrip filters using substantially reduced ...
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Jacobs, Jan Pieter; Du Plessis, W.P. (Warren Paul)
(Institute of Electrical and Electronics Engineers, 2017-11)
An efficient technique for modeling radar cross section magnitude responses versus frequency is presented. The technique is based on Gaussian process regression and makes it possible to significantly reduce the number of ...
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Jacobs, Jan Pieter
(Institute of Electrical and Electronics Engineers, 2015)
A methodology based on Gaussian process regression
(GPR) for accurately modeling the resonant frequencies
of dual-band microstrip antennas is presented. Two kinds of
dual-band antennas were considered, namely a U-slot ...
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De Villiers, Johan Pieter; Jacobs, Jan Pieter
(EMW Publishing, 2009)
Gaussian process (GP) regression is proposed as a
structured supervised learning alternative to neural networks for the modeling of CPW-fed slot antenna input characteristics. A Gaussian process is a stochastic process ...
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Jacobs, Jan Pieter; Koziel, S.
(Wiley, 2015-06)
A technique for the reduced-cost modeling of microwave filters is presented.
Our approach exploits variable-fidelity electromagnetic (EM) simulations, and Gaussian process
regression (GPR) carried out in two stages. In ...
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Jacobs, Jan Pieter; Koziel, S.
(Institute of Electrical and Electronics Engineers, 2014)
A two-stage approach based on Gaussian process regression
that achieves significantly reduced requirements for computationally
expensive high-fidelity training data is presented for
the modeling of planar antenna input ...