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 …

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 …

Accurate models of scattering and noise parameters of transistors are instrumental in
facilitating design procedures of microwave devices such as low-noise amplifiers. Yet, data …

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 …

This paper proposes an advanced technique to develop combined neural network and pole-
residue-based transfer function models for parametric modeling of electromagnetic (EM) …

Effective machine learning methods are usually trained by large data sets to guarantee
accuracy and avoid overfitting. However, large data sets restrict the popularization of the …