Abstract:
In this work, a consensual approach is developed and applied to the noise modeling of
microwave transistors. In the proposed method, multiple individual models generated by
an expert system ensemble are combined by a consensus rule that results in a consistent
and improved generalization outputting with the highest possible reliability and
accuracy. Here the expert system ensemble is basically constructed by the competitor
and diverse regressors which in our case are Back-Propagation (BP) Artificial Neural
Network (ANN), Support Vector Regression Machine (SVRM), k-Nearest Neighbor (k-
NN) and Least Squares (LS) algorithms that perform generalization independently from
each other.