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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 …
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 …
State-of-the-art: AI-assisted surrogate modeling and optimization for microwave filters
Microwave filters are indispensable passive devices for modern wireless communication
systems. Nowadays, electromagnetic (EM) simulation-based design process is a norm for …
systems. Nowadays, electromagnetic (EM) simulation-based design process is a norm for …
A novel deep neural network topology for parametric modeling of passive microwave components
Artificial neural network technique has gained recognition as a powerful technique in
microwave modeling and design. This paper proposes a novel deep neural network …
microwave modeling and design. This paper proposes a novel deep neural network …
Parameterized modeling incorporating MOR-based rational transfer functions with neural networks for microwave components
Neuro-transfer function (neuro-TF) methods are deemed as powerful tools in modeling the
electromagnetic (EM) behavior of microwave passive components. Existing neuro-TF …
electromagnetic (EM) behavior of microwave passive components. Existing neuro-TF …
Parametric modeling of EM behavior of microwave components using combined neural networks and hybrid-based transfer functions
Neuro-transfer function (neuro-TF) approaches have become more and more popular in
parametric modeling for electromagnetic (EM) behavior of microwave components. Existing …
parametric modeling for electromagnetic (EM) behavior of microwave components. Existing …
Adaptively weighted yield-driven EM optimization incorporating neurotransfer function surrogate with applications to microwave filters
In this article, we propose an adaptively weighted yield-driven EM optimization technique
incorporating neurotransfer function (neuro-TF) surrogate. In the proposed technique, an …
incorporating neurotransfer function (neuro-TF) surrogate. In the proposed technique, an …
Rapid yield estimation of microwave passive components using model-order reduction based neuro-transfer function models
In this letter, we propose a novel technique for rapid and accurate yield estimation of
microwave passive components using model-order reduction (MOR)-based neuro-transfer …
microwave passive components using model-order reduction (MOR)-based neuro-transfer …
Neural network with Fourier series-based transfer functions for filter modeling
The Fourier series is introduced as a transfer function (TF) in the artificial neural network
(ANN) for parametric modeling of microwave filters in this letter. The reported pole-residue …
(ANN) for parametric modeling of microwave filters in this letter. The reported pole-residue …
Electromagnetic parametric modeling using MOR-based neuro-impedance matrix transfer functions for two-port microwave components
This article proposes a novel electromagnetic (EM) parametric modeling approach using
model-order reduction (MOR)-based neuro-impedance matrix transfer functions (neuro …
model-order reduction (MOR)-based neuro-impedance matrix transfer functions (neuro …