Artificial neural networks for microwave computer-aided design: The state of the art

F Feng, W Na, J Jin, J Zhang, W Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article presents an overview of artificial neural network (ANN) techniques for a
microwave computer-aided design (CAD). ANN-based techniques are becoming useful for …

Review of multi-fidelity models

MG Fernández-Godino - arXiv preprint arXiv:1609.07196, 2016 - arxiv.org
This article provides an overview of multi-fidelity modeling trends. Fidelity in modeling refers
to the level of detail and accuracy provided by a predictive model or simulation. Generally …

Simulation and automated modeling of microwave circuits: State-of-the-art and emerging trends

QJ Zhang, E Gad, B Nouri, W Na… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Microwave modeling and simulation are essential to designing microwave circuits and
systems. Although fundamental concepts and approaches for modeling and simulation are …

Parametric modeling of EM behavior of microwave components using combined neural networks and pole-residue-based transfer functions

F Feng, C Zhang, J Ma, QJ Zhang - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
This paper proposes an advanced technique to develop combined neural network and pole-
residue-based transfer function models for parametric modeling of electromagnetic (EM) …

Space mapping

S Koziel, QS Cheng, JW Bandler - IEEE Microwave Magazine, 2008 - ieeexplore.ieee.org
Microwave CAD has its roots in the 1960s [1]. Its practice saw the enrichment of circuit-
based model libraries, advances in EM and circuit simulation accuracy, and the refinement …

High-dimensional global optimization method for high-frequency electronic design

HM Torun, M Swaminathan - IEEE Transactions on Microwave …, 2019 - ieeexplore.ieee.org
Efficient global optimization of microwave systems is a very challenging task that emerges in
importance for rapid design closure and discovery of novel structures. As the operating …

Smart modeling of microwave devices

H Kabir, L Zhang, M Yu, PH Aaen… - IEEE Microwave …, 2010 - ieeexplore.ieee.org
Modeling and computer-aided design (CAD) techniques are essential for microwave design,
especially with the drive towards first-pass design success. We have described neural …

A space-mapping framework for engineering optimization—Theory and implementation

S Koziel, JW Bandler, K Madsen - IEEE Transactions on …, 2006 - ieeexplore.ieee.org
This paper presents a comprehensive approach to engineering design optimization
exploiting space mapping (SM). The algorithms employ input SM and a new generalization …

Multifeature-assisted neuro-transfer function surrogate-based EM optimization exploiting trust-region algorithms for microwave filter design

F Feng, W Na, W Liu, S Yan, L Zhu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This article proposes a multifeature-assisted neuro-transfer function (neuro-TF) surrogate-
based electromagnetic (EM) optimization technique exploiting trust-region algorithms for …

Parametric modeling of microwave components using adjoint neural networks and pole-residue transfer functions with EM sensitivity analysis

F Feng, C Zhang, J Ma, QJ Zhang - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper proposes a pole-residue-based adjoint neuro-transfer function (neuro-TF)
technique with electromagnetic (EM) sensitivity analysis for parametric modeling of EM …