Prior knowledge based neural modeling of microstrip coupled resonator filters

The design of microstrip coupled resonator filters includes determination the coupling coefficients between filter units. In this paper a novel modeling procedure exploiting prior knowledge neural approach is proposed as an efficient alternative to standard electromagnetic (EM) simulations and models based purely on artificial networks (ANNs). It has similar accuracy EM requires less training data time needed for model development than ANNs.