“…Neural network can learn and represent the general input-output behavior of a de- Researchers have investigated a variety of important applications utilizing the ability of artificial neural networks to perform parametric modeling and optimization of microwave components and circuits, such as high-speed VLSI interconnects [37], [38], bends [17], [39], vias [40], spiral inductors [36], [41], microwave FETs [35], [42], HBTs [43], [44], HEMTs [45], waveguides [46], laser diodes [47], filters [48]− [50], amplifiers [4], [51], mixers [51], antennas [52], coplanar waveguide (CPW) components [27], [53], embedded passives [26], [54], multilayer circuit packages [55].…”