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 …

This paper presents a focused and comprehensive literature survey on the use of machine
learning (ML) in antenna design and optimization. An overview of the conventional …

The artificial neural network (ANN)-based compact modeling methodology is evaluated in
the context of advanced field-effect transistor (FET) modeling for Design-Technology …

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 review the space-mapping (SM) technique and the SM-based surrogate (modeling)
concept and their applications in engineering design optimization. For the first time, we …

Neural-network computational modules have recently gained recognition as an
unconventional and useful tool for RF and microwave modeling and design. Neural …

This paper presents a new technique for artificial neural network (ANN) inverse modeling
and applications to microwave filters. In inverse modeling of a microwave component, the …

Antenna Theory and Microstrip Antennas offers a uniquely balanced analysis of antenna
fundamentals and microstrip antennas. Concise and readable, it provides theoretical …

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

This paper reviews the current state-of-the-art in electromagnetic (EM)-based design and
optimization of microwave circuits using artificial neural networks (ANNs). Measurement …