Neural network applications for optimization of microstrip linear phase filter with inset feeding

ANN has a wide application areas. One of these applications areas is the optimization of microwave filters. In this study, of optimization ANN solution techniques have been applied to optimize RF and microwave structures Using Artificial neural networks (ANN) modeling technique in a filter design with the inset-feeding open-loop resonator is presented. With helping the Sonnet EM Simulator, to develop a new ANN model, the datas was produced. The modeling techniques which is in the Neuro Solutions Program were used for this process. The geometrical dimension of filter and coupling gap can be used to determine input output(I/O) relations of ANN model. As a result, for the -linear phase- microstrip filter, the results, which was obtained from the ANN model were compared with the experiment and simulation result. And provided a good agreement was observed.