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 …
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 …
Machine learning meets communication networks: Current trends and future challenges
The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …
massively expanding number of connected devices and online services, require intelligent …
Recent advances in neural network‐based inverse modeling techniques for microwave applications
Inverse modeling of microwave components plays an important role in microwave design
and diagnosis or tuning. Since the analytical function or formula of the inverse input‐output …
and diagnosis or tuning. Since the analytical function or formula of the inverse input‐output …
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) …
amplifier (PAs) is presented. The models are static polynomial, parallel Hammerstein (PH) …
Neural network inverse modeling and applications to microwave filter design
In this paper, systematic neural network modeling techniques are presented for microwave
modeling and design using the concept of inverse modeling where the inputs to the inverse …
modeling and design using the concept of inverse modeling where the inputs to the inverse …
Smart modeling of microwave devices
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 …
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) …
proposed to predict the dynamic nonlinear behavior of wideband RF power amplifiers (PAs) …
A ray launching-neural network approach for radio wave propagation analysis in complex indoor environments
A novel deterministic approach to model the radio wave propagation channels in complex
indoor environments reducing computational complexity is proposed. This technique …
indoor environments reducing computational complexity is proposed. This technique …
Equivalent circuit theory-assisted deep learning for accelerated generative design of metasurfaces
In this article, we propose an equivalent circuit theory-assisted deep learning approach to
accelerate the design of metasurfaces. By combining the filter equivalent circuit theory and a …
accelerate the design of metasurfaces. By combining the filter equivalent circuit theory and a …