X-Parameter Modeling for Microwave Power Device Based on GRNN

Abstract

The nonlinear parameter extraction for microwave power devices has the problems of low efficiency and high complexity. An X-parameter modeling based on general regression neural network (GRNN) is proposed in this paper. It is demonstrated that the GRNN model can realize the fit rate of 96.0 % and the mean-square error (MSE) of 0.0013. Consequently, the nonlinear characteristics for transistor can be accurately characterized by GRNN model.