We present a new methodology to develop physics-based models for passive components. We coherently integrate full-wave EM simulations, artificial neural networks, multivariable rational functions, dimensional analysis and frequency mapping. We consider frequencyindependent and frequency-dep en d en t models. Various examples include a microstrip right angle bend and a CPW short-circuit stub
We present novel realizations of SM based neuromodels of microwave components using available softwa...
This paper presents a new approach to microwave circuit analysis and optimization featuring neural n...
The paper describes the exploitation of feed-forward neural networks and recurrent neural networks f...
Abstract:- Because of ever-higher operating frequencies and circuit integration, distributed electro...
A novel parametric modeling technique is proposed to develop combined neural network and transfer fu...
An advanced Neuro-space mapping (Neuro-SM) multiphysics parametric modeling approach for microwave p...
An overview of neural network-based modeling techniques and their applications in microwave modeling...
This paper presents recent advances in model development for RF/microwave components exploiting two ...
This paper proposes a novel technique to develop a low-cost electromagnetic (EM) centric multiphysic...
For the first time, we present modeling of microwave circuits using artificial neural networks (ANN’...
The 21st century will be the information age characterized by an ever-increasing need for advanced c...
Parametric modeling of electromagnetic (EM) behaviors has become important for EM design optimizatio...
A powerful concept in neuromodeling of microwave circuits based on Space Mapping technology is descr...
© 2019 IEEE.This paper proposes a method to ensure that S-Parameters generated using neural network ...
This paper presents an overview of Neuro-space mapping (Neuro-SM) approach and its application to no...
We present novel realizations of SM based neuromodels of microwave components using available softwa...
This paper presents a new approach to microwave circuit analysis and optimization featuring neural n...
The paper describes the exploitation of feed-forward neural networks and recurrent neural networks f...
Abstract:- Because of ever-higher operating frequencies and circuit integration, distributed electro...
A novel parametric modeling technique is proposed to develop combined neural network and transfer fu...
An advanced Neuro-space mapping (Neuro-SM) multiphysics parametric modeling approach for microwave p...
An overview of neural network-based modeling techniques and their applications in microwave modeling...
This paper presents recent advances in model development for RF/microwave components exploiting two ...
This paper proposes a novel technique to develop a low-cost electromagnetic (EM) centric multiphysic...
For the first time, we present modeling of microwave circuits using artificial neural networks (ANN’...
The 21st century will be the information age characterized by an ever-increasing need for advanced c...
Parametric modeling of electromagnetic (EM) behaviors has become important for EM design optimizatio...
A powerful concept in neuromodeling of microwave circuits based on Space Mapping technology is descr...
© 2019 IEEE.This paper proposes a method to ensure that S-Parameters generated using neural network ...
This paper presents an overview of Neuro-space mapping (Neuro-SM) approach and its application to no...
We present novel realizations of SM based neuromodels of microwave components using available softwa...
This paper presents a new approach to microwave circuit analysis and optimization featuring neural n...
The paper describes the exploitation of feed-forward neural networks and recurrent neural networks f...