Title :
Generalized regression neural network-based efficient noise modeling for microwave transistors
Author :
Filiz Güneş;Ufuk Özkaya;Ahmet Uluslu
Author_Institution :
Yildiz Technical University, Electronics &
fDate :
6/1/2011 12:00:00 AM
Abstract :
In this paper, a simple, accurate, fast and reliable black-box modeling is presented for the noise characterization of a microwave transistor using GRNN. GRNN-based modeling is applied to a chosen microwave transistor VMMK 1225 with an optimized training data set and the results are given in details.
Keywords :
"Noise","Training","Transistors","Artificial neural networks","Microwave transistors","Solid modeling"
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on
Print_ISBN :
978-1-61284-919-5
DOI :
10.1109/INISTA.2011.5946067
