Modelling of the cylindrical metallic cavity loaded by lossy dielectric slab using neural networks

In this paper, the loaded cylindrical metallic cavity loaded by lossy dielectric slab is modelled using multilayer perceptron networks. A proper neural model is defined, which includes the dielectric slab losses and is used for modelling of the cavity with circular cross-section when lossy dielectric slab is placed at the bottom of the cavity. An original approach for significantly decreasing neural network training set is suggested. The results obtained show that the suggested approach provides microwave cavity modelling with high accuracy.