Neural Network Models for Finline Discontinuities

Abstract

The radial basis network is used as the finline discontinuities electromagnetic artifical neural network(EM‐ANN) models. EM software analysis is employed to characterize finline discontinuities. EM‐ANN models are then trained using physical parameters and frequency as inputs and equivalent electric circuit element parameters of finline discontinuities as outputs. Once trained , the EM‐ANN models can simulate equivalent electric circuit element parameters of finline step, notch and strip very fast and efficiently.