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 …

There is a wide number of problems in electromagnetic (EM) engineering that require a real-
time response or in which the input–output relationship is not a-priori known or cannot be …

A multistage collaborative machine learning (MS-CoML) method that can be applied to
efficient multiobjective antenna modeling and optimization is proposed. Machine learning …

This article presents a new analog circuit optimization system for automated sizing of analog
integrated circuits. It consists of a genetic algorithm (GA)-based global optimization engine …

This article provides an overview of how artificial intelligence (AI) is applied in designing
high-frequency magnetic components, primarily high-frequency inductors and transformers …

Modeling and computer-aided design (CAD) techniques are essential for microwave design,
especially with the drive towards first-pass design success. We have described neural …

The develo** optimization algorithms provide promising solutions for speeding up analog
integrated circuit sizing. However, the optimization of complicated circuits whose solution …

Knowledge-based neural network modeling techniques using space-map** concept have
been demonstrated in the existing literature as efficient methods to overcome the accuracy …

State-of-the-art synthesis methods for microwave passive components suffer from the
following drawbacks. They either have good efficiency but highly depend on the accuracy of …

This work introduces hardware implementation of artificial neural networks (ANNs) with
learning ability on field programmable gate array (FPGA) for dynamic system identification …