DocumentCode
3783360
Title
Application of neural networks in microwave FET transistor noise modeling
Author
V. Markovic;Z. Marinkovic;N. Males-Ilic
Author_Institution
Fac. of Electron. Eng., Nis Univ., Serbia
fYear
2000
Firstpage
146
Lastpage
151
Abstract
An application of neural networks in microwave FET transistor (MESFET) noise modeling is presented. A multilayer perceptron neural network is implemented to model four transistor noise parameters. Inputs for the neural models include small-signal intrinsic equivalent circuit elements, two equivalent temperatures and frequency, while outputs are noise parameters. Pospieszalski´s approach is employed to characterize the noise parameters.
Keywords
"Microwave FETs","Neural networks","Microwave transistors","Circuit noise","MESFETs","Multilayer perceptrons","Multi-layer neural network","Equivalent circuits","Temperature","Frequency"
Publisher
ieee
Conference_Titel
Neural Network Applications in Electrical Engineering, 2000. NEUREL 2000. Proceedings of the 5th Seminar on
Print_ISBN
0-7803-5512-1
Type
conf
DOI
10.1109/NEUREL.2000.902403
Filename
902403
Link To Document