LAUSR

A dynamic adjustment kernel extreme learning machine with transfer functions is proposed for parametric modeling of the electromagnetic behavior of microwave components. If satisfactory accuracy has not been obtained, the proposed model, which supports the functionalities of increased learning, reduced learning, and hybrid learning, can utilize the overlap between the old training data set and the new one to achieve the accurate trained results with faster retraining. The validity of the proposed model is confirmed with two examples of a microstrip-to-microstrip vertical transition and a quadruple-mode filter.