Learning-by-examples techniques as applied to electromagnetics

A Massa, G Oliveri, M Salucci, N Anselmi… - Journal of …, 2018 - Taylor & Francis
There is a wide number of problems in electromagnetic (EM) engineering that require a real-
time response or in which the input–output relationship is not a-priori known or cannot be …

Knowledge‐based neural network with Bayesian optimization for efficient nonlinear RF device modeling

R Wang, J Su, W Xie, Z Lin - International Journal of Numerical …, 2024 - Wiley Online Library
This paper proposes a novel approach for modeling the nonlinear behavior of microwave
devices, with a particular focus on addressing the challenging problem of modeling …

Design of experiments using centroidal Voronoi tessellation

P Barmuta, GP Gibiino, F Ferranti… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
In this paper, the centroidal Voronoi tessellation (CVT) is proposed as a design of
experiments (DoE) for the nonlinear modeling of active devices. Different method's flavors …

Uncertainty in large-signal measurements under variable load conditions

K Łukasik, J Cheron, G Avolio… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
We investigate the uncertainty of large-signal measurements of a microwave transistor due
to variation in the load conditions at the fundamental frequency. In particular, we evaluate …

Hybrid nonlinear model for microwave active devices using kriging

P Barmuta, F Ferranti, K Łukasik… - … and Millimetre-wave …, 2017 - ieeexplore.ieee.org
This paper presents a hybrid empirical-behavioral model applied to microwave active
devices. The empirical part ensures meaningful, physical response over a wide range of …

Dynamic constraints for large-signal measurements on arbitrary grids

P Barmuta, F Ferranti, A Lewandowski… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
This paper presents a novel method of dynamic constraints, which allows safe large-signal
measurements on arbitrary grids of samples. The method is a generalization of popular …