Neuromodelling of Frequency Selective Surfaces and E-Shaped Microstrip Antennas

The main objective of this work is the application of Artificial Neural Networks (ANN) in the analysis of microwave integrated circuits, such as frequency selective surfaces (FSS) and E-shaped microstrip antennas. The advantages of modeling these devices through neural networks are discussed. The FSS ANN results are presented and validated with those from the method of moments (MoM). The antenna ANN results are presented and validated with measured ones. Furthermore, a good generalization capacity of the ANN analysis was observed.