Artificial neural networks for microwave computer-aided design: The state of the art
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 …
microwave computer-aided design (CAD). ANN-based techniques are becoming useful for …
EM-based optimization of microwave circuits using artificial neural networks: The state-of-the-art
JE Rayas-Sánchez - IEEE Transactions on Microwave Theory …, 2004 - ieeexplore.ieee.org
This paper reviews the current state-of-the-art in electromagnetic (EM)-based design and
optimization of microwave circuits using artificial neural networks (ANNs). Measurement …
optimization of microwave circuits using artificial neural networks (ANNs). Measurement …
Artificial neural networks for RF and microwave design-from theory to practice
QJ Zhang, KC Gupta… - IEEE transactions on …, 2003 - ieeexplore.ieee.org
Neural-network computational modules have recently gained recognition as an
unconventional and useful tool for RF and microwave modeling and design. Neural …
unconventional and useful tool for RF and microwave modeling and design. Neural …
Parametric modeling of EM behavior of microwave components using combined neural networks and pole-residue-based transfer functions
This paper proposes an advanced technique to develop combined neural network and pole-
residue-based transfer function models for parametric modeling of electromagnetic (EM) …
residue-based transfer function models for parametric modeling of electromagnetic (EM) …
Space mapping
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 …
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 …
importance for rapid design closure and discovery of novel structures. As the operating …
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 …
exploiting space mapping (SM). The algorithms employ input SM and a new generalization …
ANNs for fast parameterized EM modeling: The state of the art in machine learning for design automation of passive microwave structures
Artificial neural networks (ANNs) are information processing systems, with their design
inspired by studies of the ability of the human brain to learn from observations and …
inspired by studies of the ability of the human brain to learn from observations and …
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 …
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
This paper proposes a pole-residue-based adjoint neuro-transfer function (neuro-TF)
technique with electromagnetic (EM) sensitivity analysis for parametric modeling of EM …
technique with electromagnetic (EM) sensitivity analysis for parametric modeling of EM …