Artificial neural networks modeling for computer-aided design of planar band-rejection filter

Artificial neural networks (ANN) have recently gained attention as a fast and flexible vehicle to microwave modeling, simulation and optimization. This work presents an example of ANN usefulness in microwave filter (band-reject) design process, especially when the equivalent model of custom structure of the filter is unknown. A comparison of results from different simulation methods and measurements has been presented.