Artificial neural networks for microwave computer-aided design: The state of the art
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 …
microwave computer-aided design (CAD). ANN-based techniques are becoming useful for …
Machine learning applied to diagnosis of human diseases: A systematic review
N Caballé-Cervigón, JL Castillo-Sequera… - Applied Sciences, 2020 - mdpi.com
Human healthcare is one of the most important topics for society. It tries to find the correct
effective and robust disease detection as soon as possible to patients receipt the …
effective and robust disease detection as soon as possible to patients receipt the …
Artificial neural networks for RF and microwave design-from theory to practice
QJ Zhang, KC Gupta… - IEEE transactions on …, 2003 - ieeexplore.ieee.org
Neural-network computational modules have recently gained recognition as an
unconventional and useful tool for RF and microwave modeling and design. Neural …
unconventional and useful tool for RF and microwave modeling and design. Neural …
[图书][B] Neural networks for RF and microwave design (Book+ Neuromodeler Disk)
Q Zhang, KC Gupta - 2000 - dl.acm.org
From the Publisher: Discover the new, unconventional alternatives for conquering RF and
microwave design and modeling problems using neural networks information processing …
microwave design and modeling problems using neural networks information processing …
EM-based optimization of microwave circuits using artificial neural networks: The state-of-the-art
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 …
optimization of microwave circuits using artificial neural networks (ANNs). Measurement …
Multiparameter modeling with ANN for antenna design
LY Xiao, W Shao, FL Jin… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this communication, a novel artificial neural network (ANN) model is proposed to describe
the antenna performance with various parameters. In this model, three parallel and …
the antenna performance with various parameters. In this model, three parallel and …
Knowledge-based neural models for microwave design
F Wang, QJ Zhang - IEEE Transactions on Microwave Theory …, 1997 - ieeexplore.ieee.org
Neural networks have recently been introduced to the microwave area as a fast and flexible
vehicle to microwave modeling, simulation and optimization. In this paper, a novel neural …
vehicle to microwave modeling, simulation and optimization. In this paper, a novel neural …
ANNs for fast parameterized EM modeling: The state of the art in machine learning for design automation of passive microwave structures
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 …
inspired by studies of the ability of the human brain to learn from observations and …
A review of artificial neural networks applications in microwave computer‐aided design (invited article)
P Burrascano, S Fiori… - International Journal of RF …, 1999 - Wiley Online Library
Neural networks found significant applications in microwave CAD. In this paper, after
providing a brief description of neural networks employed so far in this context, we illustrate …
providing a brief description of neural networks employed so far in this context, we illustrate …
Neural-based dynamic modeling of nonlinear microwave circuits
J Xu, MCE Yagoub, R Ding… - IEEE Transactions on …, 2002 - ieeexplore.ieee.org
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 …
most desirable format, ie, continuous time-domain dynamic system format. The proposed …