Neuro-fuzzy approach in microwave filter tuning

Summary form only given, as follows. This paper describes a method of microwave filter tuning. The main goal of this research is to build an adaptive neuro-fuzzy system. The system was trained with use of samples that contain information about scattering characteristics and corresponding tuning screw deviations. Experiments were performed on four different filters. The results have been then compared with previous works which use artificial neural networks. The system learning phase reached lower generalization and learning error.