Generalized regression neural network-based efficient noise modeling for microwave transistors
Filiz Güneş, Ufuk Özkaya, Ahmet Uluslu · 2011
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.