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 …

A neural network (NN)-based hybrid physical model for gallium nitride high-electron-mobility
transistors (GaN HEMTs) is proposed. In this model, the artificial NN (ANN) is used to …

In the past few decades, circuits based on gallium nitride high electron mobility transistor
(GaN HEMT) have demonstrated exceptional potential in a wide range of high-power and …

Neural networks are widely used to build large-signal models; an appropriate network
architecture is important for high model accuracy and good generalization ability. In this …

Microwave modeling and simulation are essential to designing microwave circuits and
systems. Although fundamental concepts and approaches for modeling and simulation are …

In this article, a scalable knowledge-based neural network (KBNN) large-signal model of
gallium nitride (GaN) high-electron-mobility transistors (HEMTs) with accurate trap** and …

The accurate current model near knee voltage is critical to precisely simulate the power
compression characteristics for power high-electron-mobility transistor (HEMT), especially …

This article presents a high‐precision modeling method to build a small signal model of
GaAs pseudomorphic high electron mobility transistor (pHEMT) by using a radial basis …

This paper presents a nonlinear microwave device modeling technique that is based on time
delay neural network (TDNN). The proposed technique can accurately model the nonlinear …