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

In this paper, we outline the historical evolution of RF and microwave design optimization
and envisage imminent and future challenges that will be addressed by the next generation …

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 …

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 paper, we propose a simple, yet reliable methodology to expedite yield estimation
and optimization of microwave structures. In our approach, the analysis of the entire …

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 …

The most widely used space mapping approach to efficient design optimization is the
aggressive space mapping (ASM) algorithm. My purpose here is to present both a historical …

Full-wave electromagnetic (EM) analysis is one of the most important tools in the design of
modern microwave components and systems. EM simulation permits reliable evaluation of …