Machine learning techniques in analog/RF integrated circuit design, synthesis, layout, and test
Rapid developments in semiconductor technology have substantially increased the
computational capability of computers. As a result of this and recent developments in theory …
computational capability of computers. As a result of this and recent developments in theory …
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 …
Deep neural network technique for high-dimensional microwave modeling and applications to parameter extraction of microwave filters
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 …
microwave modeling. Deep learning is nowadays highly successful in solving complex and …
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 …
A review on the artificial neural network applications for small‐signal modeling of microwave FETs
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 …
transistor (FET) small‐signal modeling using artificial neural networks (ANNs). To gain an in …
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 …
A robust algorithm for automatic development of neural-network models for microwave applications
VK Devabhaktuni, MCE Yagoub… - IEEE Transactions on …, 2001 - ieeexplore.ieee.org
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 …
RF/microwave model development process. Starting with zero amount of training data and …
Advanced microwave modeling framework exploiting automatic model generation, knowledge neural networks, and space mapping
VK Devabhaktuni, B Chattaraj… - IEEE Transactions …, 2003 - ieeexplore.ieee.org
In this paper, we propose an efficient knowledge-based automatic model generation
(KAMG) technique aimed at generating microwave neural models of the highest possible …
(KAMG) technique aimed at generating microwave neural models of the highest possible …
Extraction and use of neural network models in automated synthesis of operational amplifiers
G Wolfe, R Vemuri - … Transactions on Computer-Aided Design of …, 2003 - ieeexplore.ieee.org
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 …
analog circuits. Development of analog performance models is difficult due to the highly …
Applications of artificial neural networks in optical performance monitoring
X Wu, JA Jargon, RA Skoog, L Paraschis… - Journal of Lightwave …, 2009 - opg.optica.org
Applications using artificial neural networks (ANNs) for optical performance monitoring
(OPM) are proposed and demonstrated. Simultaneous identification of optical signal-to …
(OPM) are proposed and demonstrated. Simultaneous identification of optical signal-to …