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 …

The purpose of this paper is to provide a comprehensive overview of the field‐effect
transistor (FET) small‐signal modeling using artificial neural networks (ANNs). To gain an in …

This article introduces the deep neural network method into the field of high-dimensional
microwave modeling. Deep learning is nowadays highly successful in solving complex and …

We present Circuit-GNN, a graph neural network (GNN) model for designing distributed
circuits. Today, designing distributed circuits is a slow process that can take months from an …

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 …

In this communication, a novel artificial neural network (ANN) model is proposed to describe
the antenna performance with various parameters. In this model, three parallel and …

To improve the convenience and efficiency of antenna design, in this article, a novel inverse
artificial neural network (ANN) model is proposed in which antenna performance indexes …

In this article, an application of regression-based machine learning (ML) approaches to
compute resonant frequency at dominant mode TM 10, slot dimensions of square patch, and …

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 …

This article proposes a multifeature-assisted neuro-transfer function (neuro-TF) surrogate-
based electromagnetic (EM) optimization technique exploiting trust-region algorithms for …