Artificial neural networks for microwave computer-aided design: The state of the art

F Feng, W Na, J Jin, J Zhang, W Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

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 …

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 …

A comparative overview of microwave and wireless power-amplifier behavioral modeling approaches

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 …

A comparative analysis of behavioral models for RF power amplifiers

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) …

Dynamic behavioral modeling of 3G power amplifiers using real-valued time-delay neural networks

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 …

Smart modeling of microwave devices

H Kabir, L Zhang, M Yu, PH Aaen… - IEEE Microwave …, 2010 - ieeexplore.ieee.org
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 …

Physically inspired neural network model for RF power amplifier behavioral modeling and digital predistortion

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) …

[图书][B] 混合神经网络技术

田雨波 - 2009 - ecsponline.com
本书在论述神经网络基本概念和基本原理的基础上, 重点介绍了混合神经网络技术, 同时,
给出各种混合神经网络技术在电磁建模和优化问题中的应用. 全书共分12 章 …

ANNs for fast parameterized EM modeling: The state of the art in machine learning for design automation of passive microwave structures

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 …