JE Rayas-Sánchez - IEEE Transactions on Microwave Theory …, 2004 - ieeexplore.ieee.org
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 …
Neural-network computational modules have recently gained recognition as an unconventional and useful tool for RF and microwave modeling and design. Neural …
JC Pedro, SA Maas - IEEE transactions on microwave theory …, 2005 - ieeexplore.ieee.org
This paper presents a comparative overview of the most important approaches presented to address the behavioral modeling of microwave and wireless power amplifiers (PAs). Starting …
M Isaksson, D Wisell, D Ronnow - IEEE transactions on …, 2006 - ieeexplore.ieee.org
A comparative study of nonlinear behavioral models with memory for radio-frequency power amplifier (PAs) is presented. The models are static polynomial, parallel Hammerstein (PH) …
T Liu, S Boumaiza… - IEEE Transactions on …, 2004 - ieeexplore.ieee.org
In this paper, we propose a novel real-valued time-delay neural network (RVTDNN) suitable for dynamic modeling of the baseband nonlinear behaviors of third-generation (3G) base …
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 …
F Mkadem, S Boumaiza - IEEE Transactions on Microwave …, 2011 - ieeexplore.ieee.org
In this paper, a novel two hidden layers artificial neural network (2HLANN) model is proposed to predict the dynamic nonlinear behavior of wideband RF power amplifiers (PAs) …
F Feng, W Na, J Jin, W Zhang… - IEEE Microwave …, 2021 - ieeexplore.ieee.org
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 …