Soft Computing Methods in Microwave Active Device Modeling

Authors

YAVUZ CENGİZ
FİLİZ GÜNEŞ
MEHMET FATİH ÇAĞLAR

DOI

-

Abstract

In this work, the signal and noise behaviors of a microwave transistor within its operation domain (CT,V_{DS}, I_{DS}, f) are modeled by the Artificial Neural Network (ANN) and Fuzzy Logic System (FLS) without using any information on the microwave circuit theory . A worked example is presented where the same data is employed for both models selected from the manufacturer's data sheets. Performances of the FLS and ANN models are compared and conclusions are drawn.

Keywords

Fuzzy Logic System (FLS), Artificial Neural Network (ANN) model, Signal and Noise parameters, Black-Box model

First Page

137

Last Page

148

Recommended Citation

CENGİZ, YAVUZ; GÜNEŞ, FİLİZ; and ÇAĞLAR, MEHMET FATİH (2005) "Soft Computing Methods in Microwave Active Device Modeling," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 13: No. 1, Article 10. Available at: https://journals.tubitak.gov.tr/elektrik/vol13/iss1/10