Rapid developments in semiconductor technology have substantially increased the
computational capability of computers. As a result of this and recent developments in theory …

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 …

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 …

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

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 …

A neural network formulation for modeling nonlinear microwave circuits is achieved in the
most desirable format, ie, continuous time-domain dynamic system format. The proposed …

For the first time, we propose a robust algorithm for automating the neural-network-based
RF/microwave model development process. Starting with zero amount of training data and …

In this paper, we propose an efficient knowledge-based automatic model generation
(KAMG) technique aimed at generating microwave neural models of the highest possible …

Fast and accurate performance estimation methods are essential to automated synthesis of
analog circuits. Development of analog performance models is difficult due to the highly …

Applications using artificial neural networks (ANNs) for optical performance monitoring
(OPM) are proposed and demonstrated. Simultaneous identification of optical signal-to …