DocumentCode
3638964
Title
On the neural approach for FET small-signal modelling up to 50GHz
Author
Zlatica Marinković;Giovanni Crupi;Alina Caddemi;Vera Marković
Author_Institution
Faculty of Electronic Engineering, University of Niš
fYear
2010
Firstpage
89
Lastpage
92
Abstract
The aim of this paper is to discuss and compare two neural approaches applied in small-signal modelling of microwave FETs. One of them is completely based on artificial neural networks, while the other is a hybrid model putting together artificial neural networks and an equivalent circuit representation of a microwave transistor. Devices with different gate width are considered in this paper. Different modelling aspects are compared, with special emphasis on the model development procedure and model accuracy.
Keywords
"Integrated circuit modeling","Artificial neural networks","Microwave circuits","Microwave FETs","Logic gates","Equivalent circuits"
Publisher
ieee
Conference_Titel
Neural Network Applications in Electrical Engineering (NEUREL), 2010 10th Symposium on
Print_ISBN
978-1-4244-8821-6
Type
conf
DOI
10.1109/NEUREL.2010.5644101
Filename
5644101
Link To Document